CN112463595A

CN112463595A - Mobile terminal software development processing method based on cloud computing and cloud computing software platform

Info

Publication number: CN112463595A
Application number: CN202011285242.1A
Authority: CN
Inventors: 杜晨飞
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-11-17
Filing date: 2020-11-17
Publication date: 2021-03-09

Abstract

The embodiment of the application provides a mobile terminal software development processing method based on cloud computing and a cloud computing software platform, diversified information such as a test node entity item of a software image file, a test node extension item and a list item of a software image file list can be obtained by analyzing a test node of a to-be-tested running object, then item matching is carried out by taking the test node entity item as main information to obtain a corresponding test node entity, and the test node entity is screened by combining the test node extension item and the list item to obtain a more accurate target test node entity. The method and the device utilize various diversified test node information to perform entity identification and matching on the software image file, so that the software image file is tested after the test incidence relation with the target test node entity is established, and more accurate software development test results can be obtained while the test efficiency is improved.

Description

Mobile terminal software development processing method based on cloud computing and cloud computing software platform

Technical Field

The application relates to the technical field of application program development, in particular to a mobile terminal software development processing method based on cloud computing and a cloud computing software platform.

Background

In some software development processes, it is often necessary to count a load optimization service (i.e., a service software framework capable of performing page load optimization) in a certain mobile-end application program of a software project and a jump migration page corresponding to the load optimization service, where the jump migration page may be a page in which a service frequently changes during a use process of the mobile-end application program. And therefore, optimizing the software development so as to be optimized against potential software development requirements.

However, after each software development optimization, a software testing process is often involved, and how to obtain a more accurate software development testing result while improving testing efficiency is a technical problem to be solved in the field.

Disclosure of Invention

In order to overcome at least the above disadvantages in the prior art, an object of the present application is to provide a mobile terminal software development processing method and a cloud computing software platform based on cloud computing, which can obtain diversified information such as a test node entity item, a test node extension item, and a list item of a software image file list of a software image file by performing test node analysis on a to-be-tested running object, then perform item matching with the test node entity item as main information to obtain a corresponding test node entity, and then screen the test node entity by combining the test node extension item and the list item to obtain a more accurate target test node entity. The method and the device utilize various diversified test node information to perform entity identification and matching on the software image file, so that the software image file is tested after the test incidence relation with the target test node entity is established, and more accurate software development test results can be obtained while the test efficiency is improved.

In a first aspect, the present application provides a mobile terminal software development processing method based on cloud computing, which is applied to a cloud computing software platform, where the cloud computing software platform is in communication connection with a plurality of mobile terminals, and the method includes:

acquiring a loading optimization service in a mobile terminal application program and a jump migration page corresponding to the loading optimization service, and performing software development optimization on the mobile terminal application program based on the loading optimization service and the jump migration page corresponding to the loading optimization service;

acquiring an object to be tested for indexing a software image file list in software development optimization information, wherein the software image file list comprises at least one software image file;

performing test node analysis on the running object to be tested to obtain a test node entity item, a test node extension item and a list item of the software image file list of the software image file;

and performing project matching in an entity project database according to the test node entity project to obtain one or more test node entities corresponding to the test node entity project, screening the test node entities according to the test node extension project and the list project to obtain target test node entities, establishing a test incidence relation between the software image files and the target test node entities, and performing synchronous software test based on the test incidence relation between each software image file and the target test node entities.

In a possible implementation manner of the first aspect, the step of performing a test node analysis on the to-be-tested running object to obtain a test node entity item, a test node extension item, and a list item of the software image file list of the software image file includes:

performing clustering processing on the test nodes in the running objects to be tested based on cyclic traversal to determine cluster test function partitions where the test nodes in the running objects to be tested are located, and analyzing the running objects to be tested according to the cluster test function partitions to obtain background logic construction information;

the background logic construction information is processed in a segmented mode to obtain segmented logic construction information in the running object to be tested, and the running object to be tested is divided according to the segmented logic construction information to obtain a testing node entity table item where the software image file list is located;

performing test node analysis on the test node entity table entry to obtain test node analysis contents of the software image file list, wherein the test node analysis contents comprise test node analysis fields forming the software image file;

acquiring a test node entity indication field in the analysis content of the test node, wherein the test node entity indication field comprises an entity item indication field for indicating the test node entity item and an extension indication field for indicating the test node extension item;

determining an entity item indication area corresponding to the entity item indication field and an extension indication area corresponding to the extension indication field on the running object to be tested, and determining an area position relationship between the test node entity indication field and the entity item indication area and the extension indication area according to the distribution position of the test node entity indication field on the running object to be tested;

clustering the test node entity indication fields according to the region position relationship to determine test node entity items and test node extension items of the software image file;

carrying out feature extraction on the analysis content of the test node to obtain the content features of the analysis content of the test node, and carrying out mapping processing on the content features to predict confidence degrees of classifying the analysis content of the test node to a plurality of list items respectively;

and selecting a target label from the plurality of list items according to the confidence degrees, and determining the target label as the list item of the software image file list.

In a possible implementation manner of the first aspect, the step of performing item matching in an entity item database according to the test node entity item to obtain one or more test node entities corresponding to the test node entity item includes:

matching detection is carried out in an entity project database according to the entity project of the test node so as to determine whether project index information which is the same as the entity project of the test node exists in the entity project database;

if the item index information is detected in the entity item database, determining a test node entity having a test association relationship with the item index information as a test node entity corresponding to the test node entity item;

if the item index information is not detected in the entity item database, establishing a topological item matching network according to the item level difference of each item in the entity item database;

traversing the topology item matching network to determine whether candidate item index information within a preset item level difference range with the test node entity item exists in each topology item of the topology item matching network;

if the candidate item index information is detected in the entity item database, determining a test node entity having a test association relationship with the candidate item index information as a test node entity corresponding to the test node entity item.

In a possible implementation manner of the first aspect, the step of screening the test node entity according to the test node extension item and the list item to obtain a target test node entity includes:

screening the test node entities according to the list items to obtain candidate entities matched with the list items;

searching a candidate test association expansion template having a test association relation with the candidate entity in an expansion database;

selecting a target test associated expansion template matched with the test node expansion item from the candidate test associated expansion templates, wherein the test node expansion item comprises a test associated expansion template used for representing a metering unit of the software image file and an index directory parameter used for representing a software image index directory of the software image file, and the target test associated expansion template comprises a target test associated expansion template matched with the test associated expansion template and a target index directory parameter matched with the index directory parameter;

if the target test association expansion template and the target index directory parameter are mapped to the same candidate entity, determining the candidate entity as a target test node entity;

and if the target test association expansion template and the target index directory parameter are mapped to different candidate entities, determining the candidate entities having the test association relation with the target test association expansion template as target test node entities.

In a possible implementation manner of the first aspect, after the step of establishing the test association relationship between the software image file and the target test node entity, the step of performing a synchronous software test based on the test association relationship between each software image file and the target test node entity includes:

forming structural information with a test incidence relation by the index directory parameters, the test node entity items, the test node extension items and the target test node entities of the software image file;

determining an access directory for testing the synchronous software based on the index directory parameters of the software image file;

determining a test thread aiming at the test node entity item and the test node extension item based on the access directory for carrying out the synchronous software test;

and performing synchronous software testing on the target test node entity based on the test threads aiming at the test node entity project and the test node extension project.

In a possible implementation manner of the first aspect, the step of obtaining a load optimization service in a mobile application and a jump migration page corresponding to the load optimization service, and performing software development optimization on the mobile application based on the load optimization service and the jump migration page corresponding to the load optimization service includes:

acquiring partition skipping information and sub-service skipping information recorded in a mobile terminal application program, determining the sub-service skipping information recorded in the mobile terminal application program as APP sub-service skipping information, and determining the partition skipping information recorded in the mobile terminal application program as APP partition skipping information; the sub-service skip portrait in the APP sub-service skip information is intercepted from a target acquisition skip portrait for the mobile terminal application program, wherein the sub-area skip information and the sub-service skip information are acquired based on a big data acquisition strategy;

acquiring a partition skipping portrait in the target acquisition skipping portrait, and determining the skipping portrait matching degree between the partition skipping portrait in the target acquisition skipping portrait and the partition skipping portrait in the APP partition skipping information as the service connectivity degree between the APP partition skipping information and the APP partition skipping information;

when the service connectivity is greater than or equal to a service connectivity threshold, performing service association on the APP sub-service jump information and the APP sub-partition jump information to obtain jump service association information, determining sub-service jump information with service association failure as candidate sub-service jump information, and determining a jump migration page matched with the candidate sub-service jump information according to the jump information matching degree between the sub-service jump information in the jump service association information and the candidate sub-service jump information;

and performing service association on a jump migration page matched with the candidate sub-service jump information and the candidate sub-service jump information to obtain migration service association information, determining a loading optimization service in the mobile terminal application program and a jump migration page corresponding to the loading optimization service according to the migration service association information and the jump service association information, and performing software development optimization according to the loading optimization service in the mobile terminal application program and the jump migration page corresponding to the loading optimization service.

In a possible implementation manner of the first aspect, the step of determining, according to the migration service association information and the skip service association information, a loading optimization service in the mobile application and a skip migration page corresponding to the loading optimization service includes:

acquiring migration service associated information and jump migration pages contained in jump information in the jump service associated information, clustering each jump migration page according to a service type, and acquiring a jump migration page corresponding to each cluster, wherein each cluster corresponds to a loading optimization service of one service type;

the step of optimizing software development according to the loading optimization service in the mobile terminal application program and the jump migration page corresponding to the loading optimization service includes:

determining an optimized service node for loading optimized service in the mobile terminal application program, based on the preset optimized service node, the software development kit for software update data, the software development kit for software update operation data, the software development kit trigger condition corresponding to the software update data and the corresponding relationship between the software development kit trigger conditions corresponding to the software update operation data, determining a first software development package trigger condition corresponding to the software update data of the loading optimization service in the mobile terminal application program and a second software development package trigger condition corresponding to the software update operation data of the loading optimization service in the mobile terminal application program;

inquiring whether a target software instruction of which the software development kit does not meet the corresponding software development kit triggering condition exists in software updating data and software updating operation data of the loading optimization service in the mobile terminal application program; if the software updating data of the loading optimization service in the mobile terminal application program does not meet the corresponding first software development kit triggering condition and the software updating operation data of the loading optimization service in the mobile terminal application program does not meet the corresponding second software development kit triggering condition, determining an updating development data catalog for updating and developing the software updating data and the software updating operation data as a first preset data catalog, and respectively adjusting the software updating data and the software updating operation data to software instructions meeting the corresponding software development kit triggering condition based on the determined updating development data catalog;

based on software updating data of loading optimization services in the mobile terminal application program, software instructions except the target software instruction in the software updating operation data and the adjusted target software instruction, performing jump migration feature extraction on jump migration pages corresponding to the loading optimization services to obtain a plurality of jump migration feature sets, and clustering the jump migration feature sets to obtain jump migration optimization instruction information of the loading optimization services in the mobile terminal application program;

and determining software development data to be optimized corresponding to the loading optimization service in the mobile terminal application program according to the jump migration optimization instruction information and the update plan instruction queue of the loading optimization service in the mobile terminal application program, and optimizing the software development data to be optimized.

In a possible implementation manner of the first aspect, a load optimization service in the mobile application is an interactive service or a non-interactive service, the first preset data directory is a service conversion data directory, and the adjusting the software update data and the software update operation data to software instructions that satisfy corresponding software development kit triggering conditions based on the determined update development data directory includes:

if the software updating data of the loading optimization service in the mobile terminal application program does not meet the triggering condition of the corresponding first software development kit and the software updating operation data of the loading optimization service in the mobile terminal application program does not meet the triggering condition of the corresponding second software development kit, using the service conversion data directory as an updating development data directory, updating and developing the software updating data of the loading optimization service in the application program of the mobile terminal to obtain the corresponding sub-software updating data of the software updating data on each service conversion data directory, taking the service conversion data directory as an updating and developing data directory, updating and developing software updating operation data of the loading optimization service in the mobile terminal application program to obtain corresponding sub-software updating operation data of the software updating operation data on each service conversion data directory;

the step of extracting jump migration features of jump migration pages corresponding to the loading optimization service based on software update data of the loading optimization service in the mobile terminal application program and software instructions except for the target software instruction and the adjusted target software instruction in the software update operation data to obtain a plurality of jump migration feature sets includes: respectively carrying out skip migration feature extraction on the skip migration page corresponding to the loading optimization service on the sub-software updating data and the sub-software updating operation data corresponding to each service conversion data directory to obtain a plurality of skip migration feature sets;

the clustering the plurality of jump migration feature sets to obtain jump migration optimization instruction information of loading optimization services in the mobile terminal application program includes: and clustering the plurality of jump migration feature sets according to the feature dimension degrees and the feature priority corresponding to the time sequence features to obtain jump migration optimization instruction information of loading optimization services in the application program of the mobile terminal.

In a possible implementation manner of the first aspect, the step of determining, according to the jump migration optimization instruction information and an update plan instruction queue of a load optimization service in the mobile application program, software development data to be optimized corresponding to the load optimization service in the mobile application program, and optimizing the software development data to be optimized includes:

acquiring target software development data containing software development data labels based on information clustering results of the jump migration optimization instruction information and update plan attribute information of an update plan instruction queue of loading optimization services in the mobile terminal application program;

classifying the software development activity events of the target software development data into active software development activity events and passive software development activity events; marking the active software development activity event as a pending software development activity event;

in the passive software development activity events, marking the software development activity events with the same event labels as the software development data labels as the to-be-processed software development activity events;

performing event data analysis on the to-be-processed software development activity event in the target software development data to obtain an event call analysis result corresponding to the operation error reporting rate of the loading optimization service in the mobile terminal application program; the active software development activity event is a software development activity event which meets the requirement of the corresponding first trigger service node with the optimizable software development data; the passive software development activity event is a software development activity event which does not meet the condition that the corresponding first trigger service node is corresponding to the optimizable software development data; the optimizable software development data is a software development activity event of which the modification influence factor of the software development data in the target software development data is greater than the set modification influence factor;

determining software development data to be optimized corresponding to loading optimization services in the mobile terminal application program based on the event call analysis result, and optimizing the software development data to be optimized;

the classifying of the software development activity events of the target software development data into active software development activity events and passive software development activity events includes:

determining the marking optimization parameters marked by the software development data in the target software development data; taking the software development activity event consistent with the labeled optimization parameter in the target software development data as a software development activity event to be triggered; determining a first trigger service node corresponding to the software development activity event to be triggered; classifying the software development activity event to be triggered as the active software development activity event or the passive software development activity event based on the first triggering service node;

the classifying the to-be-triggered software development activity event as the active software development activity event or the passive software development activity event based on the first trigger service node includes:

judging whether the software development activity event to be triggered has the optimizable software development data or not based on the first trigger service node; if so, classifying the software development activity event to be triggered into the active software development activity event; if not, classifying the software development activity event to be triggered into the passive software development activity event; or, the optimizable software development data in the target software development data is used as target optimizable software development data; classifying the target optimizable software development data and the to-be-triggered software development activity event corresponding to the first triggering service node as the active software development activity event; classifying the remaining software development activity events to be triggered into the passive software development activity events;

judging whether the software development activity event to be triggered and the target software development data have compiled application layer data with the same compiled application layer, if so, executing the step of classifying the software development activity event to be triggered into the active software development activity event or the passive software development activity event based on the first trigger service node, and if not, directly classifying the software development activity event to be triggered into the passive software development activity event;

in the passive software development activity events, marking the software development activity events with the same event labels as the software development data labels as the pending software development activity events, including:

determining a second trigger service node corresponding to the passive software development activity event; determining the maximum user activity in the second trigger service node; judging whether the maximum user activity is matched with the to-be-processed software development activity event or not; if the maximum user activity is matched with the to-be-processed software development activity event, determining effective activity duration between the maximum user activity and the passive software development activity event, judging whether the modification influence factor of the software development data of the effective activity duration is smaller than that of the software development data of the passive software development activity event, and if the modification influence factor of the software development data of the effective activity duration is larger than or equal to that of the software development data of the passive software development activity event, marking the passive software development activity event as the to-be-processed software development activity event.

In a second aspect, an embodiment of the present application further provides a mobile terminal software development processing apparatus based on cloud computing, which is applied to a cloud computing software platform, where the cloud computing software platform is in communication connection with a plurality of mobile terminals, and the apparatus includes:

the optimization module is used for acquiring a loading optimization service in a mobile terminal application program and a jump migration page corresponding to the loading optimization service, and performing software development optimization on the mobile terminal application program based on the loading optimization service and the jump migration page corresponding to the loading optimization service;

the software development optimization system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring an object to be tested for indexing a software image file list in software development optimization information, and the software image file list comprises at least one software image file;

the analysis module is used for carrying out test node analysis on the running object to be tested to obtain a test node entity item, a test node extension item and a list item of the software image file list of the software image file;

the test module is used for carrying out project matching in an entity project database according to the test node entity project to obtain one or more test node entities corresponding to the test node entity project, screening the test node entities according to the test node extension project and the list project to obtain target test node entities, establishing a test incidence relation between the software image files and the target test node entities, and then carrying out synchronous software test based on the test incidence relation between each software image file and the target test node entities.

In a third aspect, an embodiment of the present application further provides a mobile terminal software development processing system based on cloud computing, where the mobile terminal software development processing system based on cloud computing includes a cloud computing software platform and a plurality of mobile terminals communicatively connected to the cloud computing software platform;

the cloud computing software platform is used for:

In a fourth aspect, an embodiment of the present application further provides a cloud computing software platform, where the cloud computing software platform includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is used for being in communication connection with at least one mobile terminal, the machine-readable storage medium is used for storing a program, an instruction, or a code, and the processor is used for executing the program, the instruction, or the code in the machine-readable storage medium to execute the cloud computing-based mobile terminal software development processing method in the first aspect or any one of the possible implementation manners in the first aspect.

In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed, the computer is caused to execute the cloud computing-based mobile terminal software development processing method in the first aspect or any one of the possible implementation manners of the first aspect.

Based on any one of the above aspects, the software image file testing method and the software image file testing system can obtain diversified information such as a testing node entity item, a testing node extension item and a list item of a software image file list of the software image file by analyzing a testing node of a to-be-tested running object, then perform item matching by using the testing node entity item as main information to obtain a corresponding testing node entity, and then screen the testing node entity by combining the testing node extension item and the list item to obtain a more accurate target testing node entity. The method and the device utilize various diversified test node information to perform entity identification and matching on the software image file, so that the software image file is tested after the test incidence relation with the target test node entity is established, and more accurate software development test results can be obtained while the test efficiency is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that need to be called in the embodiments are briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

Fig. 1 is a schematic view of an application scenario of a mobile terminal software development processing system based on cloud computing according to an embodiment of the present application;

fig. 2 is a schematic flowchart of a mobile terminal software development processing method based on cloud computing according to an embodiment of the present application;

fig. 3 is a functional module schematic diagram of a mobile terminal software development processing apparatus based on cloud computing according to an embodiment of the present application;

fig. 4 is a schematic block diagram of structural components of a cloud computing software platform for implementing the mobile terminal software development processing method based on cloud computing according to the embodiment of the present application.

Detailed Description

The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments.

Fig. 1 is an interaction diagram of a mobile-end software development processing system 10 based on cloud computing according to an embodiment of the present application. The cloud-computing-based mobile-side software development processing system 10 may include a cloud computing software platform 100 and a mobile terminal 200 communicatively connected to the cloud computing software platform 100. The cloud-computing-based mobile-side software development processing system 10 shown in fig. 1 is only one possible example, and in other possible embodiments, the cloud-computing-based mobile-side software development processing system 10 may also include only a part of the components shown in fig. 1 or may also include other components.

Based on the inventive concept of the technical solution provided by the present application, the cloud computing software platform 100 provided by the present application can be applied to scenes such as smart medical care, smart city management, smart industrial internet, general service monitoring management, and the like, in which a big data technology or a cloud computing technology can be applied, and for example, the cloud computing software platform can also be applied to scenes such as but not limited to new energy automobile system management, smart cloud office, cloud platform data processing, cloud game data processing, cloud live broadcast processing, cloud automobile management platform, block chain financial data service platform, and the like, but is not limited thereto.

In this embodiment, the cloud computing software platform 100 and the mobile terminal 200 in the cloud computing-based mobile terminal software development processing system 10 may execute the mobile terminal software development processing method based on cloud computing in the following method embodiment in a matching manner, and the following method embodiment may be referred to for the specific steps executed by the cloud computing software platform 100 and the mobile terminal 200.

In order to solve the technical problem in the foregoing background art, fig. 2 is a schematic flow chart of a mobile-end software development processing method based on cloud computing according to an embodiment of the present application, and the mobile-end software development processing method based on cloud computing according to the embodiment may be executed by the cloud computing software platform 100 shown in fig. 1, and the mobile-end software development processing method based on cloud computing is described in detail below.

Step S110, obtaining a loading optimization service in the mobile application and a jump migration page corresponding to the loading optimization service, and performing software development optimization on the mobile application based on the loading optimization service and the jump migration page corresponding to the loading optimization service.

In this embodiment, the loading optimization service may refer to a service software framework for performing page loading optimization, and the jump migration page may be a page in which a service frequently changes during a use process of the mobile application.

And step S120, acquiring an object to be tested for indexing the software image file list from the software development optimization information.

In this embodiment, the software image file list includes at least one software image file, the software image file may refer to a specific series of files that are made into a single file according to a certain format, and may include a software system file, a software boot file, software partition table information, and the like, and these image files may include all information of one software partition. In a specific implementation, the software development optimization information may include a series of record information generated in the software development optimization process, and the record information may exist in the form of a software image file, so that an object to be tested for indexing a software image file list may be obtained in the software development optimization information.

Step S130, the test node analysis is carried out on the running object to be tested to obtain the test node entity item, the test node extension item and the list item of the software image file list of the software image file.

In this embodiment, the running object to be tested may refer to a software instance that needs to be tested and run, the test node entity item may refer to an item of an entity software service corresponding to the test node, the test node extension item may refer to an item of an extension software service of the entity software service corresponding to the test node, and the list item of the software image file list may be used to represent a software development item tag of the software image file list in a subsequent testing process.

Step S140, performing item matching in the entity item database according to the test node entity items to obtain one or more test node entities corresponding to the test node entity items, screening the test node entities according to the test node extension items and the list items to obtain target test node entities, establishing test association relations between the software image files and the target test node entities, and then performing synchronous software testing based on the test association relations between each software image file and the target test node entities.

Based on the above steps, in this embodiment, diversified information such as a test node entity item, a test node extension item, and a list item of a software image file list of a software image file can be obtained by performing test node analysis on a to-be-tested running object, then, the test node entity item is used as main information to perform item matching to obtain a corresponding test node entity, and then, the test node entity is screened in combination with the test node extension item and the list item to obtain a more accurate target test node entity. The method and the device utilize various diversified test node information to perform entity identification and matching on the software image file, so that the software image file is tested after the test incidence relation with the target test node entity is established, and more accurate software development test results can be obtained while the test efficiency is improved.

In a possible implementation manner, for step S130, in the process of performing test node analysis on the to-be-tested runtime object to obtain the test node entity item of the software image file, the test node extension item, and the list item of the software image file list, the following exemplary sub-steps may be implemented.

And the substep S131, performing clustering processing on the test nodes in the running object to be tested based on circular traversal to determine the cluster test function partition where the test nodes in the running object to be tested are located, and analyzing the running object to be tested according to the cluster test function partition to obtain background logic construction information.

And a substep S132, performing segmentation processing on the background logic construction information to obtain segmentation logic construction information in the running object to be tested, and dividing the running object to be tested according to the segmentation logic construction information to obtain a test node entity table item where the software image file list is located.

And a substep S133, performing test node analysis on the test node entity entry to obtain the test node analysis content of the software image file list.

For example, in one possible example, the test node resolution content includes test node resolution fields that make up the software image file.

And a substep S134, obtaining the entity indication field of the test node in the analysis content of the test node.

For example, in one possible example, the test node entity indication field includes an entity item indication field for indicating a test node entity item and an extension indication field for indicating a test node extension item.

And a substep S135, determining an entity item indication area corresponding to the entity item indication field and an extension indication area corresponding to the extension indication field on the running object to be tested, and determining the area position relationship between the test node entity indication field and the entity item indication area and the extension indication area according to the distribution position of the test node entity indication field on the running object to be tested.

And a substep S136, clustering the test node entity indication fields according to the region position relationship to determine the test node entity items and the test node extension items of the software image file.

And a substep S137, performing feature extraction on the analysis content of the test node to obtain the content features of the analysis content of the test node, and performing mapping processing on the content features to predict confidence degrees of classifying the analysis content of the test node to a plurality of list items respectively.

And a substep S138, selecting a target label from the list items according to the confidence degree, and determining the target label as the list item of the software image file list.

In one possible implementation manner, for step S140, in the process of performing item matching in the entity item database according to the test node entity item to obtain one or more test node entities corresponding to the test node entity item, the following exemplary sub-steps may be implemented.

And a substep S141 of performing matching detection in the entity item database according to the test node entity item to determine whether item index information identical to the test node entity item exists in the entity item database.

And if the item index information is detected in the entity item database, determining the test node entity having the test association relationship with the item index information as the test node entity corresponding to the test node entity item.

And if the item index information is not detected in the entity item database, establishing a topological item matching network according to the item hierarchy difference of each item in the entity item database.

And a substep S142 of traversing the topology item matching network to determine whether candidate item index information within a preset item level difference range from the test node entity item exists in each topology item of the topology item matching network.

In the substep S143, if the candidate item index information is detected in the entity item database, the test node entity having the test association relationship with the candidate item index information is determined as the test node entity corresponding to the test node entity item.

In one possible implementation manner, for step S140, in the process of screening the test node entities according to the test node extension items and the list items to obtain the target test node entity, the following exemplary sub-steps may be implemented.

And a substep S144, screening the test node entities according to the list items to obtain candidate entities matched with the list items.

And a substep S145, searching a candidate test association expansion template having a test association relation with the candidate entity in the expansion database.

And a substep S146, selecting a target test associated expansion template matched with the test node expansion project from the candidate test associated expansion templates.

The test node extension items comprise test association extension templates used for representing measurement units of the software image files and index directory parameters used for representing software image index directories of the software image files, and the target test association extension templates comprise target test association extension templates matched with the test association extension templates and target index directory parameters matched with the index directory parameters.

For example, the index directory parameter may refer to a parameter of an access path of the index directory.

For example, if the target test association expansion template and the target index directory parameter are mapped to the same candidate entity, the candidate entity is determined as the target test node entity.

For example, if the target test association expansion template and the target index directory parameter are mapped to different candidate entities, the candidate entity having the test association relationship with the target test association expansion template is determined as the target test node entity.

In a possible implementation manner, still referring to step S140, after the test association relationship between the software image file and the target test node entity is established, the following exemplary sub-steps may be implemented in the process of performing the synchronous software test based on the test association relationship between each software image file and the target test node entity.

And a substep S147, forming the index directory parameter, the test node entity item, the test node extension item and the target test node entity of the software image file into structural information with a test association relationship.

And a substep S148, determining an access directory for the synchronous software test based on the index directory parameter of the software image file.

And a substep S149 of determining a test thread for the test node entity item and the test node extension item based on the access directory for performing the synchronous software test.

And a substep S1491, performing synchronous software test on the target test node entity based on the test thread aiming at the test node entity item and the test node extension item.

In a possible implementation manner, for step S110, in the process of obtaining the load optimization service in the mobile application and the jump migration page corresponding to the load optimization service, and performing software development optimization on the mobile application based on the jump migration page corresponding to the load optimization service and the load optimization service, the following exemplary sub-steps may be implemented.

And a substep S111, obtaining the partition skipping information and the sub-service skipping information recorded in the mobile terminal application program, determining the sub-service skipping information recorded in the mobile terminal application program as the APP sub-service skipping information, and determining the partition skipping information recorded in the mobile terminal application program as the APP partition skipping information.

In this embodiment, the sub-service skip portrait in the APP sub-service skip information is captured from a target acquisition skip portrait for the mobile terminal application program, where the sub-service skip information and the sub-service skip information are acquired based on a big data acquisition policy, for example, a time period and a user range for big data acquisition may be configured, and then big data acquisition is performed on the sub-service skip information and the sub-service skip information recorded in the mobile terminal application program. It should be noted that a partition refers to each differentiated regional function interface under a software interaction framework under a certain service (for example, an order service is placed, which may include an order query regional function interface, an order generation regional function interface, and the like), and a sub-service refers to each differentiated software service (for example, an order service, a financial service, and the like).

And a substep S112, obtaining a partition skipping portrait in the target collection skipping portrait, and determining the skipping portrait matching degree between the partition skipping portrait in the target collection skipping portrait and the partition skipping portrait in the APP partition skipping information as the service connectivity degree between the APP partition skipping information and the APP partition skipping information.

In this embodiment, the jump portrait may refer to a jump trajectory record in a service jump process of the APP, for example, a jump category tag in the jump process (for example, when jumping from a frequently visited page to a first visited page, it may be defined as an interest jump tag, when jumping from a frequently visited page to a frequently visited page, it may be defined as a habit jump tag), a page association condition before and after the jump, and the like.

In this embodiment, the calculation method of the matching degree of the jump portrait between the partition jump portrait in the target collection jump portrait and the partition jump portrait in the APP partition jump information may specifically be to calculate the number of coincidences between the jump category tag included in the partition jump portrait in the target collection jump portrait and the jump category tag included in the partition jump portrait, and calculate the number of page associations between the page association between the page before and after the jump included in the partition jump portrait in the target collection jump portrait and the page association between the page before and after the jump included in the partition jump portrait, and then determine the weighted value of the calculated number of coincidences and the number of page associations as the matching degree of the jump portrait between the partition jump portrait in the target collection jump portrait and the partition jump portrait in the APP partition jump information.

And a substep S113, when the service connectivity is greater than or equal to the service connectivity threshold, performing service association on the APP sub-service jump information and the APP sub-partition jump information to obtain jump service association information, determining the sub-service jump information with failed service association as candidate sub-service jump information, and determining a jump transition page matched with the candidate sub-service jump information according to the jump information matching degree between the sub-service jump information and the candidate sub-service jump information in the jump service association information.

In this embodiment, it can be understood that the sub-service skip information of the service association failure may refer to sub-service skip information of which the service connectivity is smaller than a service connectivity threshold. In the service association process, the APP sub-service hopping information and the APP sub-partition hopping information may be combined to form a cluster, and each cluster may be a service association unit.

And a substep S114, performing service association on the jump migration page matched with the candidate sub-service jump information and the candidate sub-service jump information to obtain migration service associated information, determining a loading optimization service in the mobile terminal application program and a jump migration page corresponding to the loading optimization service according to the migration service associated information and the jump service associated information, and performing software development optimization according to the loading optimization service in the mobile terminal application program and the jump migration page corresponding to the loading optimization service.

Based on the above steps, the present embodiment may obtain the partition jump information and the sub-service jump information recorded in the mobile end application program, may obtain the load optimization service in the mobile end application program through the sub-service jump information, may obtain the jump migration page in the mobile end application program through the partition jump information, and may also match the sub-service jump information with the service association failure to the corresponding jump migration page, so as to improve the accuracy of the obtained load optimization service and jump migration page in the mobile end application program, so as to facilitate the subsequent optimization for the potential software development requirements.

In a possible implementation manner, for step S111, in the process of acquiring the partition jumping information and the sub-service jumping information recorded in the mobile end application, the following exemplary sub-steps may be implemented.

And a substep S1111, acquiring at least two partition skip pictures and at least two sub service skip pictures in the mobile terminal application program.

And a substep S1112, obtaining a matching degree of the subarea jump portrait between at least two subarea jump portraits and a layer level difference of the subarea jump portraits, and obtaining a matching degree of the sub-service jump portraits and a layer level difference of the sub-service jump portraits between at least two sub-service jump portraits.

And a substep S1113, combining at least two subarea skipping portraits according to the matching degree of the subarea skipping portraits and the layer level difference of the subarea skipping portraits to obtain the subarea skipping information recorded in the application program of the mobile terminal. A partition jump information includes at least one partition jump portrait.

And a substep S1114, combining at least two sub-service skip pictures according to the matching degree of the sub-service skip pictures and the layer level difference of the sub-service skip pictures to obtain sub-service skip information recorded in the application program of the mobile terminal. A sub-service skip information includes at least one sub-service skip portrait.

In a possible implementation manner, the candidate sub-service skip information may include a first sub-service skip portrait in the mobile terminal application. The number of the associated information of the jump service is at least two. And the sub-service skipping information in each skipping service associated information respectively comprises a second sub-service skipping portrait in the mobile terminal application program.

On this basis, for step S113, in the process of determining the jump transition page matched with the candidate sub-service jump information according to the jump information matching degree between the sub-service jump information in the jump service related information and the candidate sub-service jump information, the following exemplary sub-steps may be implemented.

And a substep S1131, obtaining a first skip information tag characteristic of the candidate sub-service skip information according to the first sub-service skip portrait.

And a substep S1132, respectively acquiring a second jumping information tag characteristic of the sub-service jumping information in each jumping service related information according to the second sub-service jumping portrait included in each jumping service related information.

And a substep S1133, acquiring label attribute parameters between the first jump information label characteristic and a second jump information label characteristic corresponding to each jump service associated information respectively.

And a substep S1134 of determining the hop information matching degree between the sub-service hop information in each hop service associated information and the candidate sub-service hop information respectively according to the label attribute parameter to which each hop service associated information belongs.

And a substep S1135, when the number of the target skipping service associated information is greater than the first number threshold and less than or equal to the second number threshold, determining a skipping migration page contained in the partition skipping information in the target skipping service associated information as a skipping migration page matched with the candidate partition skipping information.

It should be noted that the target skip service associated information refers to the skip service associated information whose matching degree of the associated skip information is greater than or equal to the threshold of the matching degree of the skip information.

In a possible implementation manner, the number of the jumping pictures of the first sub-service jumping picture is at least two.

In sub-step S1131, the following exemplary embodiments may be implemented:

(1) and acquiring the jump portrait label characteristics corresponding to each first sub service jump portrait in at least two first sub service jump portraits respectively.

(2) And acquiring first weighted label characteristics corresponding to at least two first sub-service skip pictures according to the skip picture label characteristics corresponding to each first sub-service skip picture.

(3) And determining the first weighted label characteristic as a first skip information label characteristic.

In a possible implementation manner, the aforementioned at least two pieces of skip service related information may include skip service related information fx, where x is a positive integer less than or equal to the total number of the at least two pieces of skip service related information. And the number of the jumping portraits of the second sub-service jumping portraits included in the jumping service related information fx is at least two.

In sub-step S1132, this may be implemented by the following exemplary embodiments:

(1) and acquiring the jump portrait label characteristics corresponding to each second sub service jump portrait in at least two second sub service jump portraits included in the jump service associated information fx.

(2) And acquiring second weighted label characteristics corresponding to at least two second sub-service skip pictures according to the skip picture label characteristics corresponding to each second sub-service skip picture.

(3) And determining the second weighted label characteristic as a second skipping information label characteristic of the sub-service skipping information in the skipping service association information fx.

In a possible implementation manner, the number of the candidate sub-service hop information is at least two.

Based on this, when the number of the target jump service associated information is less than or equal to the first number threshold, the jump service associated information where the sub-service jump information with the largest matching degree with the jump information between each candidate sub-service jump information is located is respectively determined as the pending service associated pair corresponding to each candidate sub-service jump information.

And then, respectively determining jump transition pages contained in the partition jump information in the pending service association pair corresponding to each candidate sub-service jump information as the pending jump transition pages corresponding to each candidate sub-service jump information.

On the basis, at least two jump migration attribute distributions corresponding to the jump migration page to be determined can be determined according to the jump migration page to be determined corresponding to each candidate sub-service jump information. And acquiring first occupation parameters of at least two jump migration attributes distributed in a jump migration page contained in the partition jump information of the at least two jump service associated information.

In this way, according to the first occupation parameter, the first target jump migration attribute distribution of each candidate sub-service jump information aiming at the jump migration page to be determined can be determined. And then, determining the jump migration pages to be determined, which respectively have the first target jump migration attribute distribution corresponding to each candidate sub-service jump information, as jump migration pages matched with each candidate sub-service jump information.

It is worth to be noted that the second occupation parameter of at least two jump migration attributes distributed in the jump migration page matched with each candidate sub-service jump information is equal to the first occupation parameter.

In a possible implementation manner, on the basis of the foregoing description, when the number of the target jump service associated information is greater than the second number threshold, the number of occurrences of at least two jump migration attributes of the jump migration page to be determined distributed in the jump migration page included in the partition jump portrait of the target jump service associated information may also be counted. Wherein, the distribution of at least two jump migration attributes is determined according to jump migration pages contained in the partition jump information in the target jump service associated information.

And then, according to the matching degree of the jump information between the candidate branch service jump information and the target jump service associated information and the occurrence frequency, determining the second target jump migration attribute distribution of the candidate branch service jump information aiming at the jump migration page to be determined from at least two jump migration attribute distributions. For example, the jump information matching degree and the occurrence frequency matching jump migration attribute distribution between the candidate sub-service jump information and the target jump service associated information can be obtained from at least two jump migration attribute distributions, and the obtained jump migration attribute distribution is used as the second target jump migration attribute distribution of the candidate sub-service jump information for the jump migration page to be determined.

Then, the jump migration page to be determined having the second target jump migration attribute distribution may be determined as the jump migration page matched with the candidate sub-service jump information.

In a possible implementation manner, for step S114, in the process of determining a loading optimization service in a mobile application program and a jump migration page corresponding to the loading optimization service according to migration service associated information and jump service associated information, jump migration pages included in jump information in the migration service associated information and the jump service associated information may be obtained, and each jump migration page is clustered according to a service type to obtain a jump migration page corresponding to each cluster, where each cluster corresponds to one loading optimization service of a service type.

In a possible implementation manner, for step S114, in the process of performing software development optimization according to the load optimization service in the mobile application and the jump migration page corresponding to the load optimization service, the following exemplary sub-steps may be implemented.

Substep S1141, determining an optimized service node for loading the optimized service in the mobile application, based on the corresponding relationship between the preset optimized service node, the software development kit for the software update data, the software development kit for the software update operation data, the software development kit trigger condition corresponding to the software update data and the software development kit trigger condition corresponding to the software update operation data, and determining a first software development package triggering condition corresponding to the software updating data of the loading optimization service in the mobile terminal application program and a second software development package triggering condition corresponding to the software updating operation data of the loading optimization service in the mobile terminal application program.

In this embodiment, for example, the software update data may be update data of a previous software update project, which is preloaded by the current mobile terminal application, and the update data includes service update data, code update data, and the like. The software update operation data is used to record information corresponding to an update event operated when the mobile terminal application performs software update processing. The software development kit can be understood as a data packet of the current mobile terminal application program during software installation processing.

And a substep S1142 of querying whether a target software instruction that the software development kit does not satisfy the corresponding software development kit trigger condition exists in the software updating data and the software updating operation data of the loading optimization service in the mobile terminal application program. And if the software updating data of the loading optimization service in the mobile terminal application program does not meet the corresponding first software development kit triggering condition and the software updating operation data of the loading optimization service in the mobile terminal application program does not meet the corresponding second software development kit triggering condition, determining an updating development data catalog for updating and developing the software updating data and the software updating operation data as a first preset data catalog, and respectively adjusting the software updating data and the software updating operation data to software instructions meeting the corresponding software development kit triggering condition based on the determined updating development data catalog.

For example, the software development kit failing to satisfy the software development kit trigger condition can be understood as: the participation degree of the current mobile terminal application program recorded by the target software instruction when the corresponding software development processing is performed is lower than the set participation degree, that is, the target software instruction is used for representing that the current mobile terminal application program requests more shared resources when the business project processing is performed. The data directory may be a pre-configured data instruction model, and is used to adjust and optimize software development processing logic corresponding to a target software instruction, where the adjusted target software instruction is used to represent a software instruction executed when the current mobile-end application program performs software development processing. It should be understood that the software instructions of the adjusted software development kit trigger condition are not executed by the current mobile-side application.

And a substep S1143 of extracting jump migration features of jump migration pages corresponding to the loading optimization service based on the software update data of the loading optimization service in the mobile terminal application program, the software instructions except the target software instruction in the software update operation data and the adjusted target software instruction to obtain a plurality of jump migration feature sets, and clustering the plurality of jump migration feature sets to obtain jump migration optimization instruction information of the loading optimization service in the mobile terminal application program.

For example, the jump migration optimization instruction information is used to represent software optimization information in a jump migration process of loading optimization services corresponding to the current mobile terminal application program, and there are many types of software optimization information.

And a substep S1144 of determining software development data to be optimized corresponding to the loading optimization service in the mobile terminal application program according to the skip migration optimization instruction information and the update plan instruction queue of the loading optimization service in the mobile terminal application program, and optimizing the software development data to be optimized.

For example, the update plan command queue is used to record different update plan commands, which may be of the current mobile-side application or of other mobile-side applications. And the software development data to be optimized is further the software development data needing to be optimized.

Therefore, the software updating data and the software updating operation data of the current mobile terminal application program can be analyzed and evaluated based on the software development kit triggering condition, so that the software development data can be optimized and adjusted, and the software development data of the current mobile terminal application program can be adjusted to be convenient for the current mobile terminal application program to adapt to the actual software requirements of users. By skipping migration optimization instruction information and an update plan instruction queue of loading optimization service in the mobile terminal application program, determining software development data to be optimized corresponding to the loading optimization service in the mobile terminal application program, the software development data to be optimized in an optimized state can be ensured not to influence normal service handling of the current mobile terminal application program, and therefore the situation that the current mobile terminal application program is executed in error is avoided.

For example, in a possible implementation manner, the load optimization service in the mobile application is an interactive service or a non-interactive service, the first predetermined data directory is a service conversion data directory, in sub-step S1142, if the software update data of the load optimization service in the mobile application does not satisfy the corresponding first software development kit trigger condition and the software update operation data of the load optimization service in the mobile application does not satisfy the corresponding second software development kit trigger condition, the service conversion data directory is used as an update development data directory to update and develop the software update data of the load optimization service in the mobile application, so as to obtain the corresponding sub-software update data of the software update data on each service conversion data directory, the service conversion data directory is used as an update development data directory to update and develop the software update operation data of the load optimization service in the mobile application, and obtaining sub-software updating operation data corresponding to the software updating operation data on each service conversion data directory.

In the substep S1143, skip migration feature extraction of the skip migration page corresponding to the loading optimization service may be performed on the sub-software update data and the sub-software update operation data corresponding to each service conversion data directory, respectively, to obtain a plurality of skip migration feature sets.

And then, clustering the plurality of jump migration feature sets according to the feature dimension degrees and the feature priority corresponding to the time sequence features to obtain jump migration optimization instruction information of loading optimization services in the application program of the mobile terminal.

For example, in a possible implementation manner, the third preset data directory is an event attribute adjustment data directory, the second preset data directory is an event tag adjustment data directory and an active timing adjustment data directory, and in sub-step S1142, if the software update operation data of the loading optimization service in the mobile application is the target software instruction that does not satisfy the trigger condition of the corresponding second software development package, or the software update data of the loading optimization service in the mobile application is the target software instruction that does not satisfy the trigger condition of the corresponding first software development package, it is determined whether the software instruction update impact factor of the target software instruction on the event attribute adjustment data directory is greater than the set impact factor.

For another example, if the software instruction update influence factor of the target software instruction on the event attribute adjustment data directory is greater than the set influence factor, the event attribute adjustment data directory is used as the update development data directory, and the target software instruction is adjusted to the software instruction meeting the trigger condition of the corresponding software development kit.

For example, in one possible implementation manner, if the software instruction update influence factor of the target software instruction on the event attribute adjustment data directory is greater than the set influence factor, the event attribute adjustment data directory is used as an update development data directory to update and develop the target software instruction, so as to obtain a plurality of target software instructions to be processed.

In this way, if the software instruction update influence factor of the target software instruction on the event attribute adjustment data directory is equal to the set influence factor and the target software instruction has the event tag adjustment data directory and the active timing adjustment data directory, the event tag adjustment data directory and the active timing adjustment data directory are used as update development data directories to adjust the target software instruction to the software instruction meeting the corresponding software development kit trigger condition.

For example, if the software instruction update impact factor of the target software instruction on the event attribute adjustment data directory is equal to the set impact factor and the target software instruction has the event tag adjustment data directory and the active timing adjustment data directory, the event tag adjustment data directory and the active timing adjustment data directory are used as the update development data directory to adjust the target software instruction into a plurality of sub-target software instructions whose optimized priority indexes meet the corresponding software development package triggering conditions.

In another possible implementation manner, for step S1143, specifically, the jump migration feature extraction of the jump migration page corresponding to the load optimization service may be performed on each target software instruction to be processed and the software update data of the load optimization service in the mobile application program and the software instructions except for the target software instruction in the software update operation data, respectively, so as to obtain a jump migration feature set.

In another possible implementation manner, for step S1143, for any two sub-target software instructions in which the correlation identifier exists in the target software instructions, copying the software instructions in the first sub-target software instruction and the second sub-target software instruction in the sub-target software instructions in which the correlation identifier exists, and configuring the copied software instructions into the second sub-target software instruction. And based on the first sub-target software instruction, the software updating data of the loading optimization service in the application program of the mobile terminal, the software instructions except the target software instruction in the software updating operation data and the second sub-target software instruction configured with the software instruction, performing jump migration feature extraction on a jump migration page corresponding to the loading optimization service to obtain a jump migration feature set.

The loading optimization service in the mobile terminal application program is an interactive service, the target software instruction is software update data of the interactive service, and in the process of copying a first sub-target software instruction in the sub-target software instructions with the correlation identifier and a software instruction with the correlation identifier in a second sub-target software instruction, the software instruction execution characteristics of the second sub-target software instruction in the sub-target software instructions with the correlation identifier relative to the first sub-target software instruction can be determined.

And if the software instruction execution characteristic is a first set execution characteristic or a second set execution characteristic, determining a first quantity difference value between the quantity of behavior distribution of a first software updating behavior set of the software updating operation data loading the optimization service in the mobile terminal application program and a preset quantity threshold, and copying the software instructions which have correlation identification with the second sub-target software instructions and are in the activated state and have the quantity of terminals with the first quantity difference value in the first sub-target software instructions.

And if the software instruction execution characteristic is a third set execution characteristic or a fourth set execution characteristic, determining a second quantity difference value between the quantity of behavior distribution of a second software updating behavior set of the software updating operation data loading the optimization service in the mobile terminal application program and a preset quantity threshold, and copying the software instructions which have correlation identification with the second sub-target software instructions and are in the activated state and have the second quantity difference value in the first sub-target software instructions.

Further, in one possible implementation, for sub-step S1144, the following exemplary embodiments may be implemented:

(1) and acquiring target software development data containing software development data labels based on information clustering results of the jump migration optimization instruction information and update plan attribute information of an update plan instruction queue for loading optimization services in the mobile terminal application program.

(2) Software development activity events of the target software development data are classified into active software development activity events and passive software development activity events. And marking the active software development activity event as a pending software development activity event.

For example, annotation optimization parameters for annotations of software development data in the target software development data can be determined. And taking the software development activity event consistent with the labeled optimization parameters in the target software development data as the software development activity event to be triggered. And determining a first trigger service node corresponding to the software development activity event to be triggered. Then, the software development activity event to be triggered is classified as an active software development activity event or a passive software development activity event based on the first triggering service node.

For example, it may be determined whether optimizable software development data exists for the software development activity event to be triggered based on the first triggering service node. If yes, classifying the software development activity event to be triggered into an active software development activity event. And if not, classifying the software development activity event to be triggered into a passive software development activity event. Or, the optimizable software development data in the target software development data is used as the target optimizable software development data. And classifying the target optimizable software development data and the to-be-triggered software development activity event corresponding to the first trigger service node into an active software development activity event. And classifying the rest software development activity events to be triggered into passive software development activity events.

For another example, it may be determined whether the to-be-triggered software development activity event has compiled application layer data having the same compiled application layer as the target software development data, if so, perform a step of classifying the to-be-triggered software development activity event as an active software development activity event or a passive software development activity event based on the first trigger service node, and if not, directly classify the to-be-triggered software development activity event as a passive software development activity event.

(3) And in the passive software development activity events, the software development activity events with the same event labels as those of the software development data labels are marked as the pending software development activity events.

For example, a second trigger service node corresponding to the passive software development activity event may be determined, a maximum user activity level in the second trigger service node may be determined, and whether the maximum user activity level matches the pending software development activity event may be determined.

If the maximum user activity is matched with the software development activity event to be processed, determining the effective activity duration between the maximum user activity and the passive software development activity event, judging whether the modification influence factor of the software development data of the effective activity duration is smaller than that of the software development data of the passive software development activity event, and if the modification influence factor of the software development data of the effective activity duration is larger than or equal to that of the software development data of the passive software development activity event, marking the passive software development activity event as the software development activity event to be processed.

(4) And analyzing event data of the to-be-processed software development activity events in the target software development data to obtain event call analysis results corresponding to the operation error reporting rate of the loading optimization service in the mobile terminal application program.

The active software development activity event is a software development activity event which meets the requirement of the corresponding first trigger service node with the optimizable software development data. The passive software development activity event is a software development activity event that does not satisfy the corresponding first trigger service node with the optimizable software development data. The software development data can be optimized to be the software development activity event of which the modification influence factor of the software development data in the target software development data is larger than the set modification influence factor.

(5) And determining software development data to be optimized corresponding to the loading optimization service in the application program of the mobile terminal based on the event call analysis result, and optimizing the software development data to be optimized.

Fig. 3 is a schematic functional module diagram of the mobile-end software development processing device 300 based on cloud computing according to the embodiment of the present disclosure, and in this embodiment, functional modules of the mobile-end software development processing device 300 based on cloud computing may be divided according to the method embodiment executed by the cloud computing software platform 100, that is, the following functional modules corresponding to the mobile-end software development processing device 300 based on cloud computing may be used to execute each method embodiment executed by the cloud computing software platform 100. The cloud-computing-based mobile-end software development processing apparatus 300 may include an optimization module 310, an acquisition module 320, an analysis module 330, and a test module 340, and the functions of the functional modules of the cloud-computing-based mobile-end software development processing apparatus 300 are described in detail below.

The optimizing module 310 is configured to obtain a loading optimization service in a mobile application and a jump migration page corresponding to the loading optimization service, and perform software development optimization on the mobile application based on the loading optimization service and the jump migration page corresponding to the loading optimization service. The optimization module 310 may be configured to perform the step S110, and the detailed implementation of the optimization module 310 may refer to the detailed description of the step S110.

An obtaining module 320, configured to obtain, in the software development optimization information, an object to be tested for indexing a software image file list, where the software image file list includes at least one software image file. The obtaining module 320 may be configured to perform the step S120, and the detailed implementation of the obtaining module 320 may refer to the detailed description of the step S120.

The analysis module 330 is configured to perform test node analysis on the running object to be tested to obtain a test node entity item, a test node extension item, and a list item of the software image file list of the software image file. The parsing module 330 may be configured to perform the step S130, and the detailed implementation manner of the parsing module 330 may refer to the detailed description of the step S130.

The testing module 340 is configured to perform item matching in an entity item database according to the test node entity item to obtain one or more test node entities corresponding to the test node entity item, screen the test node entities according to the test node extension item and the list item to obtain target test node entities, and perform synchronous software testing based on the test association relationship between each software image file and the target test node entities after establishing the test association relationship between the software image file and the target test node entities. The testing module 340 may be configured to perform the step S140, and the detailed implementation manner of the testing module 340 may refer to the detailed description of the step S140.

It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules may all be implemented in software invoked by a processing element. Or may be implemented entirely in hardware. And part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the optimization module 310 may be a separate processing element, or may be integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and a processing element of the apparatus calls and executes the functions of the optimization module 310. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.

Fig. 4 is a schematic diagram illustrating a hardware structure of a cloud computing software platform 100 for implementing the cloud computing-based mobile terminal software development processing method, according to an embodiment of the present disclosure, as shown in fig. 4, the cloud computing software platform 100 may include a processor 110, a machine-readable storage medium 120, a bus 130, and a transceiver 140.

In a specific implementation process, at least one processor 110 executes computer-executable instructions stored in the machine-readable storage medium 120 (for example, the optimization module 310, the acquisition module 320, the parsing module 330, and the testing module 340 included in the mobile-end software development processing apparatus 300 based on cloud computing shown in fig. 3), so that the processor 110 may execute the mobile-end software development processing method based on cloud computing according to the above method embodiment, where the processor 110, the machine-readable storage medium 120, and the transceiver 140 are connected through the bus 130, and the processor 110 may be configured to control the transceiving action of the transceiver 140, so as to perform data transceiving with the mobile terminal 200.

For a specific implementation process of the processor 110, reference may be made to the above-mentioned method embodiments executed by the cloud computing software platform 100, and implementation principles and technical effects thereof are similar, and details of this embodiment are not described herein again.

In the embodiment shown in fig. 4, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.

The machine-readable storage medium 120 may comprise high-speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.

The bus 130 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus 130 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.

In addition, an embodiment of the present application further provides a readable storage medium, where a computer executing instruction is stored in the readable storage medium, and when a processor executes the computer executing instruction, the method for developing and processing the mobile terminal software based on cloud computing is implemented.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.

Also, particular push elements are used in this description to describe embodiments of this description. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.

Moreover, those skilled in the art will appreciate that aspects of the present description may be illustrated and described in terms of several patentable species or contexts, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereof. Accordingly, aspects of this description may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present description may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.

The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.

Computer program code required for the operation of various portions of this specification may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, VisualBasic, Fortran2003, Perl, COBOL2002, PHP, ABAP, a passive programming language such as Python, Ruby, and Groovy, or other programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order in which the elements and sequences are processed, the use of alphanumeric characters, or the use of other designations in this specification is not intended to limit the order of the processes and methods in this specification, unless otherwise specified in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Finally, it should be understood that the examples in this specification are only intended to illustrate the principles of the examples in this specification. Other variations are also possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.

Claims

1. A mobile terminal software development processing method based on cloud computing is characterized by being applied to a cloud computing software platform, wherein the cloud computing software platform is in communication connection with a plurality of mobile terminals, and the method comprises the following steps:

2. The cloud-computing-based mobile terminal software development processing method according to claim 1, wherein the step of performing test node analysis on the to-be-tested operation object to obtain a test node entity item, a test node extension item, and a list item of the software image file list of the software image file includes:

3. The cloud-computing-based mobile terminal software development processing method according to claim 1, wherein the step of performing item matching in an entity item database according to the test node entity item to obtain one or more test node entities corresponding to the test node entity item comprises:

4. The cloud-computing-based mobile terminal software development processing method according to claim 1, wherein the step of screening the test node entities according to the test node extension items and the list items to obtain target test node entities comprises:

5. The cloud-computing-based mobile terminal software development processing method according to any one of claims 1 to 4, wherein the step of performing a synchronous software test based on the test association relationship between each software image file and the target test node entity after the test association relationship between the software image file and the target test node entity is established includes:

6. The cloud-computing-based mobile terminal software development processing method according to any one of claims 1 to 5, wherein the step of obtaining a loading optimization service in a mobile terminal application program and a jump migration page corresponding to the loading optimization service, and performing software development optimization on the mobile terminal application program based on the loading optimization service and the jump migration page corresponding to the loading optimization service includes:

7. The cloud-computing-based mobile terminal software development processing method according to claim 6, wherein the step of determining, according to the migration service correlation information and the skip service correlation information, a load optimization service in the mobile terminal application program and a skip migration page corresponding to the load optimization service includes:

8. The cloud-computing-based mobile terminal software development processing method according to claim 7, wherein a loading optimization service in the mobile terminal application program is an interactive service or a non-interactive service, the first preset data directory is a service conversion data directory, and the software update data and the software update operation data are respectively adjusted to software instructions that satisfy trigger conditions of corresponding software development kits based on the determined update development data directory, and the method includes:

9. The cloud-computing-based mobile terminal software development processing method according to claim 8, wherein the step of determining software development data to be optimized corresponding to a load optimization service in the mobile terminal application program according to the jump migration optimization instruction information and an update plan instruction queue of the load optimization service in the mobile terminal application program, and optimizing the software development data to be optimized includes:

10. A cloud computing software platform, characterized in that the cloud computing software platform includes a processor, a machine-readable storage medium, and a network interface, the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is used for being connected with at least one mobile terminal in a communication manner, the machine-readable storage medium is used for storing programs, instructions, or codes, and the processor is used for executing the programs, instructions, or codes in the machine-readable storage medium to execute the cloud computing-based mobile terminal software development processing method according to any one of claims 1 to 9.