CN117687911A

CN117687911A - Method and device for generating test terminal allocation strategy and electronic equipment

Info

Publication number: CN117687911A
Application number: CN202311696478.8A
Authority: CN
Inventors: 林慕云
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2023-12-11
Filing date: 2023-12-11
Publication date: 2024-03-12

Abstract

The invention discloses a method and a device for generating a test terminal allocation strategy and electronic equipment, and relates to the field of financial science and technology or other related technical fields, wherein the method for generating and drawing comprises the following steps: receiving a project test request, and acquiring a test terminal list based on the project test request; calculating the test scale proportion and the number of the to-be-distributed test terminals of the target item; obtaining the adaptation degree between the test terminals based on a preset vector complementary configuration principle and a preset cosine similarity configuration principle; and selecting a target test terminal set corresponding to the target item from the test terminal list based on the adaptation degree and the number of the test terminals to be allocated, and generating a test terminal allocation strategy based on the item information and the target test terminal set. The invention solves the technical problems that in the related technology, when the test terminal is allocated to the item to be tested, the idle test terminal is randomly allocated, the item to be tested is difficult to effectively test, and the efficiency of the manual allocation mode is lower.

Description

Method and device for generating test terminal allocation strategy and electronic equipment

Technical Field

The invention relates to the field of financial science and technology or other related technical fields, in particular to a method and a device for generating a test terminal allocation strategy and electronic equipment.

Background

Along with the rapid development of information technology, many existing projects can be realized through program code development, users provide demands, developers write codes based on the demands of the users, create projects, project test is often an indispensable link before the projects are online in order to ensure the quality of the projects, and potential problems and defects can be found by performing project test before the projects are online so as to repair in time, ensure that software or a system reaches expected quality standards before release, and finally provide a reliable product for the users.

The project test is carried out on the test terminal by a tester, so that before project test operation is carried out, a test task of a project to be tested is distributed to the test terminal where the tester is located.

In view of the above problems, no effective solution has been proposed at present.

Disclosure of Invention

The embodiment of the invention provides a method and a device for generating a test terminal allocation strategy and electronic equipment, which are used for at least solving the technical problems that in the related art, when a test terminal is allocated to a project to be tested, an idle test terminal is randomly allocated, effective test is difficult to be carried out on the project to be tested, and the efficiency of a manual allocation mode is low.

According to an aspect of the embodiment of the present invention, there is provided a method for generating a test terminal allocation policy, including: receiving a project test request and acquiring a test terminal list based on the project test request, wherein the project test request at least comprises: n target items to be tested and item information corresponding to each target item, wherein the test terminal list at least comprises: the method comprises the steps of testing the total number of terminals, the corresponding identification of each testing terminal, and the digital portrait vector set of each testing terminal, wherein N is a positive integer, and the testing terminals correspond to testers; calculating a test scale proportion based on the total number of the test terminals, and calculating the number of the test terminals to be distributed of the target item based on the grade label of the target item and the test scale proportion; calculating the digital portrait vectors in the digital portrait vector set of the test terminal based on a preset vector complementation configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals; and selecting a target test terminal set corresponding to the target item from the test terminal list based on the adaptation degree and the number of the test terminals to be distributed, and generating a test terminal distribution strategy based on the item information and the target test terminal set.

Optionally, the digital portrait vector set is obtained based on a history test record of the test terminal, and the step of obtaining the digital portrait vector set includes: collecting a history test record of the test terminal to obtain a test coverage set; acquiring a history modification record corresponding to the test terminal to obtain a test effective coverage set, wherein the history modification record is a modification record obtained by the test personnel through the test terminal to test a project and obtain a project problem, and feeding back the project problem to a development terminal to modify codes; collecting a history test problem record corresponding to the test terminal to obtain a test ineffective coverage set, wherein the history test problem record is a project test record with an abnormality in the use process after the test terminal tests; performing intersection calculation on the test effective coverage set and the test ineffective coverage set to obtain a test intersection set; the digital portrait vector set is obtained based on the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set.

Optionally, the step of obtaining the set of digital portrait vectors based on the set of test overlays, the set of test active overlays, the set of test inactive overlays, and the set of test intersections comprises: converting the record objects in the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set into object feature vectors to obtain a test coverage vector set, a test effective coverage vector set, a test ineffective coverage vector set and a test intersection vector set; calculating a weight value of the object feature vector in each vector set corresponding to the test terminal; calculating a weight threshold value of each vector set; comparing the weight value of the object feature vector with the weight threshold value, deleting the object feature vector with the weight value smaller than the weight threshold value from the vector set, and obtaining a screened vector set; and constructing the digital portrait vector set of the test terminal based on each screened vector set, wherein M digital portrait vectors are stored in the digital portrait vector set, and are the screened object feature vectors, and M is a positive integer.

Optionally, the level tag is preconfigured, and the step of configuring the level tag for the target item includes: acquiring project weight, project source level, project scale and grading value based on the project information; calculating a project priority based on the project weight, the project source level, and the project scale; sorting N target items based on the item priority to obtain a sorting result; and grading the target items in the sorting result based on the grading numerical value, and configuring a grade label for each target item.

Optionally, the step of calculating the test scale ratio based on the total number of test terminals includes: performing accumulation calculation on the item scale of each target item to obtain an item total scale; and calculating quotient of the total number of the test terminals and the total scale of the project to obtain the test scale proportion.

Optionally, the step of calculating the number of test terminals to be allocated for the target item based on the rank label of the target item and the test scale ratio includes: calculating the product of the test scale proportion and the total number of the test terminals to obtain an initial calculation result of the number of the test terminals to be distributed; configuring a step correction value for the target item based on the grade label, wherein the step correction value is used for adjusting an initial calculation result of the number of the test terminals to be distributed; and calculating the number of the to-be-allocated test terminals of the target item based on the initial calculation result and the level correction value.

Optionally, the step of calculating the object feature vector in the digital portrait vector set of the test terminal based on a preset vector complementary configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals includes: combining the test terminals in the test terminal list in pairs to obtain a test terminal group; acquiring a digital portrait vector set of the test terminal group, and calculating a vector complementation value of each digital portrait vector in the digital portrait vector set corresponding to the test terminal group based on a preset vector complementation configuration principle; calculating the cosine similarity of each digital portrait vector in the digital portrait vector set corresponding to the test terminal group based on the preset cosine similarity configuration principle; and calculating the adaptation degree between the test terminals in the test terminal group based on the vector complementation value and the cosine similarity.

According to another aspect of the embodiment of the present invention, there is also provided a device for generating a test terminal allocation policy, including: the receiving unit is used for receiving a project test request and acquiring a test terminal list based on the project test request, wherein the project test request at least comprises: n target items to be tested and item information corresponding to each target item, wherein the test terminal list at least comprises: the method comprises the steps of testing the total number of terminals, the corresponding identification of each testing terminal, and the digital portrait vector set of each testing terminal, wherein N is a positive integer, and the testing terminals correspond to testers; the calculation unit is used for calculating a test scale proportion based on the total number of the test terminals and calculating the number of the test terminals to be distributed of the target item based on the grade label of the target item and the test scale proportion; the acquisition unit is used for calculating the digital portrait vectors in the digital portrait vector set of the test terminal based on a preset vector complementation configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals; and the generating unit is used for selecting a target test terminal set corresponding to the target project from the test terminal list based on the adaptation degree and the number of the test terminals to be distributed, and generating a test terminal distribution strategy based on the project information and the target test terminal set.

Optionally, the generating device of the test terminal allocation policy further includes: the first acquisition module is used for acquiring the historical test record of the test terminal to obtain a test coverage set; the second acquisition module is used for acquiring a history modification record corresponding to the test terminal to obtain a test effective coverage set, wherein the history modification record is a modification record obtained by the test personnel through the test terminal to test a project and acquire a project problem and feeding back to a development terminal to modify codes; the third acquisition module is used for acquiring a history test problem record corresponding to the test terminal to obtain a test ineffective coverage set, wherein the history test problem record is an abnormal project test record in the use process after the test terminal tests; the first calculation module is used for calculating an intersection of the test effective coverage set and the test ineffective coverage set to obtain a test intersection set; the first acquisition module is used for acquiring the digital portrait vector set based on the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set.

Optionally, the first acquisition module includes: the first conversion sub-module is used for converting the record objects in the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set into object feature vectors to obtain a test coverage vector set, a test effective coverage vector set, a test ineffective coverage vector set and a test intersection vector set; the first computing sub-module is used for computing the weight value of the object feature vector in each vector set corresponding to the test terminal; a second calculation sub-module for calculating a weight threshold value of each vector set; the first comparison sub-module is used for comparing the weight value of the object feature vector with the weight threshold value, deleting the object feature vector with the weight value smaller than the weight threshold value from the vector set, and obtaining a screened vector set; the first construction submodule is used for constructing the digital portrait vector set of the test terminal based on each screened vector set, M digital portrait vectors are stored in the digital portrait vector set, the digital portrait vectors are the screened object feature vectors, and M is a positive integer.

Optionally, the generating device of the test terminal allocation policy further includes: the second acquisition module is used for acquiring the project weight, the project source level, the project scale and the grading value based on the project information; a second calculation module for calculating a project priority based on the project weight, the project source level, and the project scale; the first sorting module is used for sorting N target items based on the item priority to obtain sorting results; and the first classification module is used for classifying the target items in the sorting result based on the classification numerical value and configuring a classification label for each target item.

Optionally, the computing unit includes: the third calculation module is used for carrying out accumulation calculation on the project scale of each target project to obtain the total project scale; and a fourth calculation module, configured to perform quotient calculation on the total number of the test terminals and the total scale of the project, so as to obtain the test scale proportion.

Optionally, the computing unit includes: a fifth calculation module, configured to calculate a product of the test scale proportion and the total number of the test terminals, to obtain an initial calculation result of the number of the test terminals to be allocated; the first configuration module is used for configuring a level correction value for the target item based on the level label, wherein the level correction value is used for adjusting an initial calculation result of the number of the test terminals to be distributed; and a sixth calculation module, configured to calculate, based on the initial calculation result and the level correction value, the number of to-be-allocated test terminals of the target item.

Optionally, the acquiring unit includes: the first combination module is used for combining the test terminals in the test terminal list in pairs to obtain a test terminal group; the third acquisition module is used for acquiring a digital portrait vector set of the test terminal group and calculating a vector complementation value of each digital portrait vector in the digital portrait vector set corresponding to the test terminal group based on a preset vector complementation configuration principle; a seventh calculation module, configured to calculate a cosine similarity of each digital portrait vector in the digital portrait vector set corresponding to the test terminal group based on the preset cosine similarity configuration principle; and an eighth calculation module, configured to calculate an adaptation degree between test terminals in the test terminal group based on the vector complementary value and the cosine similarity.

According to another aspect of the embodiment of the present invention, there is further provided a computer readable storage medium, where the computer readable storage medium includes a stored computer program, where when the computer program runs, the device where the computer readable storage medium is located is controlled to execute the method for generating the allocation policy of any one of the test terminals.

According to another aspect of the embodiment of the present invention, there is also provided an electronic device, including one or more processors and a memory, where the memory is configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement a method for generating any one of the above-mentioned test terminal allocation policies.

In the present disclosure, the method comprises the following steps: firstly, receiving a project test request and acquiring a test terminal list based on the project test request, wherein the project test request at least comprises: n target items to be tested, item information corresponding to each target item, and a test terminal list at least comprises: the method comprises the steps of calculating the total number of test terminals, the corresponding identification of each test terminal, the digital portrait vector set of each test terminal, N is a positive integer, the test terminals correspond to testers, calculating the scale ratio based on the total number of the test terminals, calculating the number of the test terminals to be allocated for a target item based on the grade label of the target item and the scale ratio, calculating the digital portrait vector in the digital portrait vector set of the test terminals based on a preset vector complementary configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree among the test terminals, selecting the target test terminal set corresponding to the target item from a test terminal list based on the adaptation degree and the number of the test terminals to be allocated, and generating a test terminal allocation strategy based on item information and the target test terminal set.

In the method, when the test terminals are allocated for the test tasks, the test logic of the test terminals is not allocated randomly, but the test logic of the test terminals is mined, the digital portrait vectors of the test terminals are constructed, the adaptation degree between the test terminals is calculated based on the digital portrait vectors, the preset vector complementation configuration principle and the preset cosine similarity configuration principle which are configured in advance, the target test items are allocated to the test terminals with high adaptation degree, the problem of the target test items is guaranteed to be effectively tested, the test efficiency and the accuracy are improved, the item quality is guaranteed, and the technical problems that in the related art, when the test terminals are allocated for the test items, the random allocation of the test terminals is difficult, the effective test of the items to be tested is difficult, and the manual allocation mode is low are solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:

FIG. 1 is a flow chart of an alternative method of generating a test terminal allocation policy according to an embodiment of the invention;

FIG. 2 is a schematic diagram of an alternative process for generating a set of digital portrait vectors according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of an alternative test terminal allocation policy generation apparatus according to an embodiment of the present invention;

fig. 4 is a block diagram of a hardware structure of an electronic device (or mobile device) that tests a method of generating a terminal allocation policy according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be noted that, the method and the device for generating the test terminal allocation policy in the present disclosure may be used in the financial and technological field when allocating the test terminal to the test item, and may also be used in any field other than the financial and technological field when allocating the test terminal to the test item.

It should be noted that, related information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present disclosure are information and data authorized by a user or sufficiently authorized by each party, and the collection, use and processing of related data need to comply with related laws and regulations and standards of related areas, and are provided with corresponding operation entries for the user to select authorization or rejection. For example, an interface is provided between the system and the relevant user or institution, before acquiring the relevant information, the system needs to send an acquisition request to the user or institution through the interface, and acquire the relevant information after receiving the consent information fed back by the user or institution.

The following embodiments of the present invention are applicable to various test terminal assignment systems/applications/devices. According to the invention, the test records of the recent test terminals are automatically counted, the record information is quantized, the test logic complementation rate among the test terminals is calculated, the adaptation degree among the terminals is calculated, the same test item is distributed to the test terminals with higher adaptation degree, the item can be effectively tested, the test success coverage rate is improved, and the quality of the item is improved.

The present invention will be described in detail with reference to the following examples.

Example 1

According to an embodiment of the present invention, there is provided an embodiment of a method for generating a test terminal allocation policy, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different from that herein.

Fig. 1 is a flowchart of an alternative method for generating a test terminal allocation policy according to an embodiment of the present invention, as shown in fig. 1, the method includes the steps of:

Step S101, receiving a project test request and acquiring a test terminal list based on the project test request, wherein the project test request at least comprises: n target items to be tested, item information corresponding to each target item, and a test terminal list at least comprises: the method comprises the steps of testing the total number of terminals, the corresponding identification of each testing terminal, and the digital portrait vector set of each testing terminal, wherein N is a positive integer, and the testing terminals correspond to testers;

step S102, calculating a test scale proportion based on the total number of the test terminals, and calculating the number of the test terminals to be distributed of the target item based on the grade label of the target item and the test scale proportion;

step S103, calculating the digital portrait vectors in the digital portrait vector set of the test terminals based on a preset vector complementation configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals;

step S104, selecting a target test terminal set corresponding to the target item from the test terminal list based on the adaptation degree and the number of the test terminals to be allocated, and generating a test terminal allocation strategy based on the item information and the target test terminal set.

Through the steps, firstly, a project test request is received, and a test terminal list is obtained based on the project test request, wherein the project test request at least comprises: n target items to be tested, item information corresponding to each target item, and a test terminal list at least comprises: the method comprises the steps of calculating the total number of test terminals, the corresponding identification of each test terminal, the digital portrait vector set of each test terminal, N is a positive integer, the test terminals correspond to testers, calculating the scale ratio based on the total number of the test terminals, calculating the number of the test terminals to be allocated for a target item based on the grade label of the target item and the scale ratio, calculating the digital portrait vector in the digital portrait vector set of the test terminals based on a preset vector complementary configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree among the test terminals, selecting the target test terminal set corresponding to the target item from a test terminal list based on the adaptation degree and the number of the test terminals to be allocated, and generating a test terminal allocation strategy based on item information and the target test terminal set.

In this embodiment, when a test terminal is allocated to a test task, instead of randomly allocating the idle terminal, test logic of the test terminal is mined, and a digital portrait vector of the test terminal is constructed, so that an adaptation degree between the test terminals is calculated based on the digital portrait vector and a preset vector complementary configuration principle and a preset cosine similarity configuration principle which are configured in advance, and then a target test item is allocated to the test terminal with high adaptation degree, so that a problem of the target test item is guaranteed to be effectively tested, and therefore, test efficiency and accuracy are improved, item quality is guaranteed, and further, technical problems in the related art that when the test terminal is allocated to the test item, random allocation is carried out on the idle test terminal, effective test is difficult to carry out on the item to be tested, and manual allocation mode efficiency is low are solved.

Embodiments of the present invention will be described in detail with reference to the following steps.

It should be noted that, the project test refers to a problem test on developed software or a system, when a problem exists in a project, the problem test is fed back to a development terminal to modify codes, the project test is an essential loop before the project is online, a high-quality project can be provided for a user through the project test, the project test is realized by test terminals, the test terminals are in one-to-one correspondence with the test terminals, different test persons have different test habits, different terminals have different test logics, the output results of the terminals of the same test logic are similar, and the test project is difficult to effectively and comprehensively test, so that the similarity and the logic complementarity of the test terminals need to be considered when the test project is issued to the test terminals, the project can finish the problem test to the greatest extent, more problems are found, and the quality of the project development is ensured.

Step S101, receiving a project test request and acquiring a test terminal list based on the project test request.

It should be noted that, the user side provides the project requirement for the project development side, the project developer writes the code, builds the project, the project can be subjected to strict project test before delivery, the problems occurring in the use process of some projects are eliminated, the quality of the project is ensured, the development terminal can create a project test request after developing the project, the target project to be tested is transmitted to the test project distribution system, and the system issues different test projects to the adapted test terminal.

It should be noted that, after receiving the project test request, the system analyzes the request to obtain project information of the project to be tested, for example: the method comprises the steps of obtaining a test terminal list, wherein the information recorded in the test terminal list comprises the following steps of: the system comprises a total number of test terminals, an identifier corresponding to each test terminal, a digital portrait vector set of each test terminal, an IP address of each test terminal and the like, wherein the test terminals and testers are in one-to-one correspondence, and portrait vectors in the digital portrait vector set can reflect test logic of the test terminals.

Step S102, calculating a test scale proportion based on the total number of the test terminals, and calculating the number of the test terminals to be distributed of the target item based on the grade label of the target item and the test scale proportion.

It should be noted that, in the embodiment of the present invention, the number of to-be-allocated test terminals required for each test item is calculated by calculating the test scale proportion of the item and the item class label, where the item scale and the class are different, and the required number of test terminals is also different.

Optionally, the level tag is preconfigured, and the step of configuring the level tag for the target item includes: acquiring item weights, item source levels, item scales and grading values based on the item information; calculating a project priority based on the project weight, the project source level, and the project scale; sorting the N target items based on the item priority to obtain a sorting result; and grading the target items in the sorting result based on the grading numerical value, and configuring a grade label for each target item.

When the item level tag is configured, firstly, the item weight, the item source level, the item scale and the grading value of the target item need to be acquired, the parameters are all item information generated during item creation, the parameters are closely related to the item source and the item importance level, the item priority is calculated based on the parameters, and the calculation formula of the item priority is as follows: o=bs+g, where o represents an item priority value, b represents an item weight value, s represents a value corresponding to an item source level, g represents a value corresponding to an item scale, a classification level value is defined, the tested items are ranked based on the calculated item priority, the tested items in the ranking result are classified according to the classification level value, and the test items in the same rank are configured with the same rank labels.

Optionally, the step of calculating the test scale ratio based on the total number of test terminals includes: accumulating the project scale of each target project to obtain the total project scale; and calculating quotient of the total number of the test terminals and the total scale of the project to obtain the test scale proportion.

It should be noted that, after grading the test items to obtain the grade labels of the test items, in order to calculate the number of test terminals needed for each test item, a test scale ratio needs to be calculated, where a calculation formula of the test scale ratio is as follows:wherein r represents the scale of the test, g _i Representing the item size, T, of the ith test item _c Indicating the total number of test terminals.

Optionally, the step of calculating the number of test terminals to be allocated for the target item based on the rank label and the test scale ratio of the target item includes: calculating the product of the test scale proportion and the total number of the test terminals to obtain an initial calculation result of the number of the test terminals to be distributed; configuring a step correction value for a target item based on the grade label, wherein the step correction value is used for adjusting an initial calculation result of the number of the test terminals to be allocated; and calculating the number of the terminals to be distributed of the target item based on the initial calculation result and the order correction value.

It should be noted that, the number of test terminals to be allocated for each project can be calculated through the project grade and the calculated test scale proportion, and the calculation formula of the number of test terminals to be allocated is as follows: k (k) _i ＝(1+p _i )rT _c Wherein k is _i For the number of test terminals available for the i-th item, pi is the rank correction of the i-th item (the rank correction is used to adjust the calculated initial result, and the higher the rank label value, the higher the corresponding rank is, the greater the rank correction value is.

And step S103, calculating the digital portrait vectors in the digital portrait vector set of the test terminals based on a preset vector complementation configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals.

It should be noted that, in the embodiment of the present invention, the adaptation degree between two test terminals is determined by calculating the vector complementation rate and the cosine similarity value of the digital portrait vector between the test terminals, so that the vector complementation rate can avoid the problem that the same test item is difficult to completely test because the same test item is distributed to two test terminals with the same test logic, and the cosine similarity value can determine the similarity of the two terminals, thereby ensuring that the same test item is distributed to two test terminals with the same or similar service fields.

FIG. 2 is a schematic diagram of an alternative process for generating a set of digital portrait vectors according to an embodiment of the present invention. As shown in fig. 2, the digital portrait vector set is obtained based on the history test record of the test terminal, and the step of obtaining the digital portrait vector set includes:

step S201, collecting a history test record of a test terminal to obtain a test coverage set;

step S202, acquiring a history modification record corresponding to a test terminal to obtain a test effective coverage set, wherein the history modification record is a modification record obtained by testing a project by a tester through the test terminal and obtaining a project problem, and feeding back to a development terminal for code modification;

step S203, collecting a history test problem record corresponding to the test terminal to obtain a test invalid coverage set, wherein the history test problem record is an abnormal project test record in the use process after being tested by the test terminal;

step S204, performing intersection calculation on the test effective coverage set and the test ineffective coverage set to obtain a test intersection set;

step S205, a digital portrait vector set is obtained based on the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set.

It should be noted that, the digital portrait vector of the test terminal is obtained based on the historical test information of the test terminal, the system records all the tested items in the historical time period of the test terminal, records the historical information based on the package name, the class name, the item name and the entry type list, further obtains a test coverage set, collects the historical modification record of the test terminal, namely, the test terminal tests the problem and feeds back the test terminal to the item subjected to code modification, obtains a test effective coverage set, collects the code tested by the test terminal, is tested by other test terminals to obtain the test ineffective coverage set, performs intersection calculation on the test effective coverage set and the test ineffective coverage set, obtains a test intersection set, vectorizes the record information of each set, obtains a vector set, and screens the vector information in the vector set, thus obtaining the digital portrait set.

Optionally, the step of obtaining the set of digital portrait vectors based on the set of test overlays, the set of test active overlays, the set of test inactive overlays, and the set of test intersections comprises: converting the record objects in the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set into object feature vectors to obtain a test coverage vector set, a test effective coverage vector set, a test ineffective coverage vector set and a test intersection vector set; calculating a weight value of an object feature vector in each vector set corresponding to the test terminal; calculating a weight threshold of each vector set; comparing the weight value of the object feature vector with a weight threshold value, and deleting the object feature vector with the weight value smaller than the weight threshold value from the vector set to obtain a screened vector set; and constructing a digital portrait vector set of the test terminal based on each screened vector set, wherein M digital portrait vectors are stored in the digital portrait vector set, the digital portrait vectors are screened object feature vectors, and M is a positive integer.

When the digital image set is acquired, firstly, the record objects in the set are converted into object feature vectors, and because the formats of the record objects in the set are preconfigured formats, the text information can be converted into the feature vectors according to the record information, for example, the format of the packet name of the record information can be expressed as: com, company english acronym, application node category english acronym..business or function) module tier 1..business or function module tier 2..business or function module tier 3.… …..business or function) module tier n.technical object tier 1. Technical object module tier 2. Technical object module tier 3.… …. Technical object module tier n, business or function module tier is a specific business module or technical function module, such as a user login module or asynchronous task scheduling module; technical object layering, namely, specific technical layering in a certain functional module, such as a database operation layer, an sql statement layer of a database and the like, can establish ten-dimensional vectors based on package names, and the 1 st-dimensional vector corresponds to application English abbreviations in the package names; the 2 nd dimension vector corresponds to the English abbreviation of the application node type in the packet name; the 3 rd to 5 th dimensional vectors correspond to (business or function) module hierarchies 1 to n in the packet name; the 6 th to 8 th dimensions correspond to technical object hierarchies 1 to n in the package name; a 9 th dimension corresponds to a class name; the 10 th dimension corresponds to a method name, and a ten-dimensional vector of the recording object is obtained based on the method name.

After vectorizing the record objects, the vectors in each set are calculated, and the weight of each object feature vector in each set is calculated first, where the calculation formula is as follows:q is a weight value, c is the occurrence number of the object feature vector in the set, then a weight threshold is calculated, and a calculation formula is as follows: />K is a weight threshold value, n is the kind of an object appearing in the corresponding set of all the test terminals, ci is the number of occurrences of the ith object feature vector in the set (each set independently calculates the threshold value), a is a weight correction value, and finally the weight value of the object feature vector in each set is compared with the weight threshold value, so that the vectors are screened, and finally a digital portrait vector set is obtained.

Optionally, the step of calculating the object feature vector in the digital portrait vector set of the test terminal based on the preset vector complementary configuration principle and the preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals includes: combining the test terminals in the test terminal list in pairs to obtain a test terminal group; acquiring a digital portrait vector set of a test terminal group, and calculating a vector complementation value of each digital portrait vector in the digital portrait vector set corresponding to the test terminal group based on a preset vector complementation configuration principle; calculating the cosine similarity of each digital image vector in the digital image vector set corresponding to the test terminal group based on a preset cosine similarity configuration principle; and calculating the adaptation degree between the test terminals in the test terminal group based on the vector complementary value and the cosine similarity.

It should be noted that, in the embodiment of the present invention, the test terminals to be allocated for the target items are determined by calculating the adaptation degree between the test terminals, all the test items are first combined in pairs, then a combined digital image vector set is obtained, then the complementation rate and cosine similarity value between each vector are calculated, and finally the accumulated calculation is performed to obtain the adaptation degree between the terminals.

After the adaptation degree between the test terminals is calculated, selecting C test terminals with the highest adaptation degree from the test terminal list according to the number of the test terminals corresponding to the calculated target items as target test terminals, producing a test terminal allocation strategy based on item information of the target items and the target test terminals and terminal information, and finally distributing test items to test terminals with proper values.

The following describes in detail another embodiment.

Example two

The generating device of the test terminal allocation policy provided in this embodiment includes a plurality of implementation units, each implementation unit corresponding to each implementation step in the first embodiment.

Fig. 3 is a schematic diagram of an alternative apparatus for generating a test terminal allocation policy according to an embodiment of the present invention, and as shown in fig. 3, the apparatus for generating a test terminal allocation policy may include: a receiving unit 31, a calculating unit 32, an obtaining unit 33, a generating unit 34, wherein,

the receiving unit 31 is configured to receive a project test request, and obtain a test terminal list based on the project test request, where the project test request at least includes: n target items to be tested, item information corresponding to each target item, and a test terminal list at least comprises: the method comprises the steps of testing the total number of terminals, the corresponding identification of each testing terminal, and the digital portrait vector set of each testing terminal, wherein N is a positive integer, and the testing terminals correspond to testers;

a calculating unit 32, configured to calculate a test scale ratio based on the total number of test terminals, and calculate the number of test terminals to be allocated for the target item based on the level tag of the target item and the test scale ratio;

an obtaining unit 33, configured to calculate digital portrait vectors in the digital portrait vector set of the test terminals based on a preset vector complementary configuration principle and a preset cosine similarity configuration principle, so as to obtain an adaptation degree between the test terminals;

And the generating unit 34 is configured to select a target test terminal set corresponding to the target item from the test terminal list based on the adaptation degree and the number of the test terminals to be allocated, and generate a test terminal allocation policy based on the item information and the target test terminal set.

The above generating device of the test terminal allocation policy receives, through the receiving unit 31, a project test request, and obtains a test terminal list based on the project test request, where the project test request at least includes: n target items to be tested, item information corresponding to each target item, and a test terminal list at least comprises: the method comprises the steps of testing the total number of terminals, the corresponding identification of each testing terminal, and the digital portrait vector set of each testing terminal, wherein N is a positive integer, and the testing terminals correspond to testers; calculating, by the calculating unit 32, a test scale ratio based on the total number of test terminals, and calculating the number of test terminals to be allocated for the target item based on the grade label of the target item and the test scale ratio; calculating the digital portrait vectors in the digital portrait vector set of the test terminal based on a preset vector complementation configuration principle and a preset cosine similarity configuration principle by an acquisition unit 33 to obtain the adaptation degree between the test terminals; and selecting a target test terminal set corresponding to the target item from the test terminal list based on the adaptation degree and the number of the test terminals to be allocated by the generating unit 34, and generating a test terminal allocation strategy based on the item information and the target test terminal set.

Optionally, the generating device of the test terminal allocation policy further includes: the first acquisition module is used for acquiring a history test record of the test terminal to obtain a test coverage set; the second acquisition module is used for acquiring a history modification record corresponding to the test terminal to obtain a test effective coverage set, wherein the history modification record is a modification record obtained by testing a project by a tester through the test terminal and obtaining a project problem, and feeding the project problem back to a development terminal for code modification; the third acquisition module is used for acquiring a history test problem record corresponding to the test terminal to obtain a test ineffective coverage set, wherein the history test problem record is a project test record which is abnormal in the use process after being tested by the test terminal; the first calculation module is used for calculating an intersection set of the test effective coverage set and the test ineffective coverage set to obtain a test intersection set; the first acquisition module is used for acquiring the digital portrait vector set based on the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set.

Optionally, the first acquisition module includes: the first conversion sub-module is used for converting the record objects in the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set into object feature vectors to obtain a test coverage vector set, a test effective coverage vector set, a test ineffective coverage vector set and a test intersection vector set; the first computing sub-module is used for computing the weight value of the object feature vector in each vector set corresponding to the test terminal; a second calculation sub-module for calculating a weight threshold value of each vector set; the first comparison sub-module is used for comparing the weight value of the object feature vector with the weight threshold value, deleting the object feature vector with the weight value smaller than the weight threshold value from the vector set, and obtaining a screened vector set; the first construction submodule is used for constructing a digital portrait vector set of the test terminal based on each screened vector set, M digital portrait vectors are stored in the digital portrait vector set, the digital portrait vectors are screened object feature vectors, and M is a positive integer.

Optionally, the generating device of the test terminal allocation policy further includes: the second acquisition module is used for acquiring the project weight, the project source level, the project scale and the grading value based on the project information; a second calculation module for calculating a project priority based on the project weight, the project source level, and the project scale; the first sorting module is used for sorting the N target items based on the item priority to obtain a sorting result; the first classification module is used for classifying the target items in the sorting result based on the classification numerical value and configuring a classification label for each target item.

Optionally, the computing unit includes: the third calculation module is used for carrying out accumulation calculation on the project scale of each target project to obtain the total project scale; and the fourth calculation module is used for carrying out quotient calculation on the total number of the test terminals and the total scale of the project to obtain the test scale proportion.

Optionally, the computing unit includes: the fifth calculation module is used for calculating the product of the test scale proportion and the total number of the test terminals to obtain an initial calculation result of the number of the test terminals to be distributed; the first configuration module is used for configuring a step correction value for a target item based on the grade label, wherein the step correction value is used for adjusting an initial calculation result of the number of the test terminals to be allocated; and the sixth calculation module is used for calculating the number of the to-be-allocated test terminals of the target item based on the initial calculation result and the level correction value.

Optionally, the acquiring unit includes: the first combination module is used for combining the test terminals in the test terminal list in pairs to obtain a test terminal group; the third acquisition module is used for acquiring a digital portrait vector set of the test terminal group, and calculating a vector complementation value of each digital portrait vector in the digital portrait vector set corresponding to the test terminal group based on a preset vector complementation configuration principle; the seventh calculation module is used for calculating the cosine similarity of each digital image vector in the digital image vector set corresponding to the test terminal group based on a preset cosine similarity configuration principle; and the eighth calculation module is used for calculating the adaptation degree between the test terminals in the test terminal group based on the vector complementary value and the cosine similarity.

The above-described generating device of the test terminal allocation policy may further include a processor and a memory, wherein the receiving unit 31, the calculating unit 32, the obtaining unit 33, the generating unit 34, and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.

The processor includes a kernel, and the kernel fetches a corresponding program unit from the memory. The kernel can be provided with one or more than one, and test terminals are allocated to the test tasks of the project by adjusting kernel parameters.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), which includes at least one memory chip.

According to another aspect of the embodiment of the present invention, there is further provided a computer readable storage medium, where the computer readable storage medium includes a stored computer program, and when the computer program runs, the device where the computer readable storage medium is located is controlled to execute the method for generating the allocation policy of any one of the test terminals.

According to another aspect of the embodiment of the present invention, there is also provided an electronic device, including one or more processors and a memory, where the memory is configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement a method for generating an allocation policy of any one of the test terminals.

The present application also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with the method steps of: receiving a project test request and acquiring a test terminal list based on the project test request, wherein the project test request at least comprises: n target items to be tested, item information corresponding to each target item, and a test terminal list at least comprises: the method comprises the steps of testing the total number of terminals, the corresponding identification of each testing terminal, and the digital portrait vector set of each testing terminal, wherein N is a positive integer, and the testing terminals correspond to testers; calculating a test scale proportion based on the total number of the test terminals, and calculating the number of the test terminals to be distributed of the target item based on the grade label of the target item and the test scale proportion; calculating the digital portrait vectors in the digital portrait vector set of the test terminal based on a preset vector complementation configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals; and selecting a target test terminal set corresponding to the target item from the test terminal list based on the adaptation degree and the number of the test terminals to be allocated, and generating a test terminal allocation strategy based on the item information and the target test terminal set.

Fig. 4 is a block diagram of a hardware structure of an electronic device (or mobile device) that tests a method of generating a terminal allocation policy according to an embodiment of the present invention. As shown in fig. 4, the electronic device may include one or more (shown in fig. 4 as 402a, 402b, … …,402 n) processors 402 (the processors 402 may include, but are not limited to, a microprocessor MCU, a programmable logic device FPGA, etc. processing means), a memory 404 for storing data. In addition, the method may further include: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a keyboard, a power supply, and/or a camera. It will be appreciated by those of ordinary skill in the art that the configuration shown in fig. 4 is merely illustrative and is not intended to limit the configuration of the electronic device described above. For example, the electronic device may also include more or fewer components than shown in FIG. 4, or have a different configuration than shown in FIG. 4.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims

1. The method for generating the test terminal allocation strategy is characterized by comprising the following steps:

receiving a project test request and acquiring a test terminal list based on the project test request, wherein the project test request at least comprises: n target items to be tested and item information corresponding to each target item, wherein the test terminal list at least comprises: the method comprises the steps of testing the total number of terminals, the corresponding identification of each testing terminal, and the digital portrait vector set of each testing terminal, wherein N is a positive integer, and the testing terminals correspond to testers;

calculating a test scale proportion based on the total number of the test terminals, and calculating the number of the test terminals to be distributed of the target item based on the grade label of the target item and the test scale proportion;

calculating the digital portrait vectors in the digital portrait vector set of the test terminal based on a preset vector complementation configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals;

and selecting a target test terminal set corresponding to the target item from the test terminal list based on the adaptation degree and the number of the test terminals to be distributed, and generating a test terminal distribution strategy based on the item information and the target test terminal set.

2. The method of generating of claim 1, wherein the set of digital portrait vectors is obtained based on a historical test record of the test terminal, and the step of obtaining the set of digital portrait vectors includes:

collecting a history test record of the test terminal to obtain a test coverage set;

acquiring a history modification record corresponding to the test terminal to obtain a test effective coverage set, wherein the history modification record is a modification record obtained by the test personnel through the test terminal to test a project and obtain a project problem, and feeding back the project problem to a development terminal to modify codes;

collecting a history test problem record corresponding to the test terminal to obtain a test ineffective coverage set, wherein the history test problem record is a project test record with an abnormality in the use process after the test terminal tests;

performing intersection calculation on the test effective coverage set and the test ineffective coverage set to obtain a test intersection set;

the digital portrait vector set is obtained based on the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set.

3. The method of generating of claim 2, wherein the step of obtaining the set of digital portrait vectors based on the set of test overlays, the set of test active overlays, the set of test inactive overlays, and the set of test intersections comprises:

converting the record objects in the test coverage set, the test effective coverage set, the test ineffective coverage set and the test intersection set into object feature vectors to obtain a test coverage vector set, a test effective coverage vector set, a test ineffective coverage vector set and a test intersection vector set;

calculating a weight value of the object feature vector in each vector set corresponding to the test terminal;

calculating a weight threshold value of each vector set;

comparing the weight value of the object feature vector with the weight threshold value, deleting the object feature vector with the weight value smaller than the weight threshold value from the vector set, and obtaining a screened vector set;

and constructing the digital portrait vector set of the test terminal based on each screened vector set, wherein M digital portrait vectors are stored in the digital portrait vector set, and are the screened object feature vectors, and M is a positive integer.

4. The method of generating of claim 1, wherein the level tag is preconfigured, and wherein configuring the level tag for the target item comprises:

acquiring project weight, project source level, project scale and grading value based on the project information;

calculating a project priority based on the project weight, the project source level, and the project scale;

sorting N target items based on the item priority to obtain a sorting result;

and grading the target items in the sorting result based on the grading numerical value, and configuring a grade label for each target item.

5. The method of generating of claim 4, wherein the step of calculating a test scale ratio based on the total number of test terminals comprises:

performing accumulation calculation on the item scale of each target item to obtain an item total scale;

and calculating quotient of the total number of the test terminals and the total scale of the project to obtain the test scale proportion.

6. The method of generating of claim 1, wherein the step of calculating the number of test terminals to be allocated for the target item based on the rank label of the target item and the test scale ratio comprises:

Calculating the product of the test scale proportion and the total number of the test terminals to obtain an initial calculation result of the number of the test terminals to be distributed;

configuring a step correction value for the target item based on the grade label, wherein the step correction value is used for adjusting an initial calculation result of the number of the test terminals to be distributed;

and calculating the number of the to-be-allocated test terminals of the target item based on the initial calculation result and the level correction value.

7. The method of generating according to claim 1, wherein the step of calculating object feature vectors in the digital portrait vector set of the test terminals based on a preset vector complementary configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals includes:

combining the test terminals in the test terminal list in pairs to obtain a test terminal group;

acquiring a digital portrait vector set of the test terminal group, and calculating a vector complementation value of each digital portrait vector in the digital portrait vector set corresponding to the test terminal group based on a preset vector complementation configuration principle;

calculating the cosine similarity of each digital portrait vector in the digital portrait vector set corresponding to the test terminal group based on the preset cosine similarity configuration principle;

And calculating the adaptation degree between the test terminals in the test terminal group based on the vector complementation value and the cosine similarity.

8. A device for generating a test terminal allocation policy, comprising:

the receiving unit is used for receiving a project test request and acquiring a test terminal list based on the project test request, wherein the project test request at least comprises: n target items to be tested and item information corresponding to each target item, wherein the test terminal list at least comprises: the method comprises the steps of testing the total number of terminals, the corresponding identification of each testing terminal, and the digital portrait vector set of each testing terminal, wherein N is a positive integer, and the testing terminals correspond to testers;

the calculation unit is used for calculating a test scale proportion based on the total number of the test terminals and calculating the number of the test terminals to be distributed of the target item based on the grade label of the target item and the test scale proportion;

the acquisition unit is used for calculating the digital portrait vectors in the digital portrait vector set of the test terminal based on a preset vector complementation configuration principle and a preset cosine similarity configuration principle to obtain the adaptation degree between the test terminals;

And the generating unit is used for selecting a target test terminal set corresponding to the target project from the test terminal list based on the adaptation degree and the number of the test terminals to be distributed, and generating a test terminal distribution strategy based on the project information and the target test terminal set.

9. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program when run controls a device in which the computer readable storage medium is located to execute the method for generating the test terminal allocation policy according to any one of claims 1 to 7.

10. An electronic device comprising one or more processors and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of generating the test terminal allocation policy of any of claims 1 to 7.