CN110704299A - Android platform APP abnormity testing method and device - Google Patents
Android platform APP abnormity testing method and device Download PDFInfo
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- CN110704299A CN110704299A CN201910794456.2A CN201910794456A CN110704299A CN 110704299 A CN110704299 A CN 110704299A CN 201910794456 A CN201910794456 A CN 201910794456A CN 110704299 A CN110704299 A CN 110704299A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
- G06F11/3644—Software debugging by instrumenting at runtime
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
- G06F11/366—Software debugging using diagnostics
Abstract
The invention discloses an android platform APP abnormity testing method and device. Relates to the technical field of software testing. The invention comprises the following steps: analyzing and storing the attribute information of the APP to be detected, and simultaneously embedding points into the APP to be detected; performing interface abnormity test, function abnormity test, network abnormity test, safety abnormity test and mobile equipment operation abnormity test on the APP to be tested; if abnormal data occur, the APP buried point collects the APP abnormity through an APP abnormity reporting mechanism, abnormal data analysis and repair are carried out on the abnormal data generated in the APP abnormity test to be tested, an abnormity problem library and a repair problem scheme library are established, and the APP abnormity repair to be tested is completed. According to the invention, 60% of problems in APP can be found through the android platform APP abnormity test method, and the APP abnormity can be prevented in advance.
Description
Technical Field
The invention belongs to the technical field of software testing, and particularly relates to an android platform APP abnormity testing method and device.
Background
With the development of the intelligent terminal, software installed in the intelligent terminal becomes a key point of research and development, and then corresponding software testing also becomes a technology of great concern. Due to the fact that android fragmentation, a network environment, a machine type ROM, an operating system version and a local environment are complex and various.
The application of the android platform APP abnormity testing method is used for collecting APP abnormity through an APP abnormity reporting mechanism by embedding the APP when the android platform APP is tested to be abnormal. Through the android platform APP abnormity testing method, the testing coverage rate can be improved, the Bug risk of the APP is reduced, meanwhile, various abnormity tests can be flexibly performed on the APP, the quality problem of the APP is solved in the development and coding stages, and the cost for solving the Bug problem is reduced.
Disclosure of Invention
The invention aims to provide an android platform APP abnormity testing method and device, which can find 60% of problems in APP and can prevent APP abnormity in advance through the android platform APP abnormity testing method.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to an android platform APP abnormity testing method, which comprises the following steps:
analyzing and storing the attribute information of the APP to be detected, and simultaneously embedding points into the APP to be detected;
performing interface abnormity test, function abnormity test, network abnormity test, safety abnormity test and mobile equipment operation abnormity test on the APP to be tested;
if abnormal data occur, the APP buried point collects the APP abnormality through an APP abnormality reporting mechanism, abnormal data analysis and repair are carried out on the abnormal data generated in the APP abnormality test to be tested, an abnormality problem library and a repair problem scheme library are established, and the APP abnormality repair to be tested is completed;
and if no abnormal data exists, completing the abnormal test of the APP to be tested.
Preferably, the APP buried points include exposed buried points and non-exposed buried points; and performing behavior data monitoring, quality data monitoring, environment data monitoring and operation data monitoring on the APP to be detected.
Preferably, the interface anomaly testing step is as follows:
1) constructing dirty data by operating a database or other means, and testing the error handling capacity of the server;
2) forcibly modifying a return value by using a mock or a bale grabbing tool, and testing the fault tolerance of the APP terminal;
3) and (3) changing specific parameters by using scripts or manually, wherein the specific parameters comprise types, content lengths, null, deletion of the conditions which do not meet the specification and the like, so that the fault tolerance and maturity of the APP are tested.
Preferably, the step of testing for functional abnormality is as follows:
1) carrying out interruption operation in the installation, unloading, starting and running processes of the APP;
2) the APP establishes a scene according to the result, the service flow is interrupted, the service flow is reverse, and the operation of the informal service flow is performed;
3) APP boundary value testing, and subscript boundary crossing operation;
4) APP inputs special characters, characters exceeding the limit of business rules, null, scripting language, SQL sentences and other operations;
5) in the APP operation process, table data or table operation in a database is illegally deleted or modified;
6) the APP when the memory of the equipment is insufficient downloads pictures or installs other APPs;
7) the method comprises the following steps that a plurality of devices and a plurality of operating systems are adopted, a plurality of accounts are logged in, and the APP is frequently operated for a plurality of times;
8) the APP performs the operation of adding, deleting and changing important information;
9) running a plurality of APPs in the background of the mobile phone, and then running the APP to be tested to build the operation of insufficient memory and memory leakage;
10) the APP performs third-party SDK abnormal operation in the APP;
11) rapid repetitive violent APP operation;
12) and carrying out random quick operation by using Monkey.
Preferably, the network anomaly testing step is as follows:
1) switching a network 3G/4G/Wifi, and performing APP abnormal test under the condition that the network environment is severe or frequently changed;
2) simulating a weak network environment to carry out APP abnormal test;
3) APP exception testing in an environment without a network;
4) the APP network operates overtime.
Preferably, the safety exception testing step is as follows:
1) turning off all system permissions of the APP, and accessing all system permission related pages and functions, such as: photo album, photograph, positioning, opening wifi, Bluetooth and GPS permissions;
2) performing abnormity tests on the aspects of APP installation and uninstallation, data safety, communication safety and human-computer interface safety;
3) forcibly deleting some files of the APP to be tested, and testing whether the prompt of the system to be tested is accurate and then carrying out relevant remedy prompt or operation.
Preferably, the mobile terminal device abnormality testing step is as follows:
1) in the APP operation process, the mobile phone transverse and vertical screens, the mobile phone language switching, the mobile phone font adjusting, the mobile phone permission prohibiting, the mobile phone flight starting mode, the mobile phone network switching, the mobile phone background deleting, the mobile phone Home key, the mobile phone power key and the like are adopted;
2) in the APP operation process, rapid operation is carried out, a conflict scene is created, rapid violent operation is carried out, and the pull-up and pull-down refreshing is carried out rapidly for multiple times;
3) multipoint touch is carried out in the APP running process, operation is carried out simultaneously, and a scene of resource competition is created;
4) the method comprises the following conditions of sudden incoming call, sudden short message receiving, alarm clock, low power, conference reminding system and the like in the APP operation process;
5) the recovery capability of the software is tested by interruption operation such as power failure, network disconnection, shutdown, restart and the like in the APP operation process;
6) and standby in the APP running process, and plugging and unplugging the data line and the earphone.
Preferably, the abnormal data analyzing and repairing steps are as follows:
4) analyzing the APP abnormal problem, namely positioning the APP abnormal problem category, and analyzing the APP operation step, function and service logic;
5) APP abnormal repairing, namely knowing the essential reason of the abnormal problem, positioning the abnormal problem according to the essential reason and the abnormal monitoring log and making a repairing scheme;
6) after the APP abnormity is repaired, APP abnormity verification is carried out, so that the resources of the APP business and the system are quickly recovered to be normal.
Preferably, the abnormal problem library and the problem repairing scheme library form an APP abnormal problem library by collecting and sorting APP abnormal problems, and the abnormal repairing scheme is collected and sorted after APP abnormal verification to form a repairing scheme library;
the abnormal problem database and the repair problem scheme database are stored in a cloud database.
An android platform APP abnormity testing device comprises an interface abnormity testing module, a function abnormity testing module, a network abnormity testing module, a safety abnormity testing module and a mobile equipment operation abnormity testing module, wherein the interface abnormity testing module is used for performing interface abnormity testing, the function abnormity testing module is used for performing function abnormity testing, the safety abnormity testing module is used for performing safety abnormity testing, and the mobile equipment operation abnormity testing module is used for performing mobile equipment operation abnormity testing;
the interface abnormity testing module, the function abnormity testing module, the network abnormity testing module, the safety abnormity testing module and the mobile equipment operation abnormity testing module form an APP monitoring system.
The invention has the following beneficial effects:
1. the method starts from the android platform APP abnormity test, can find 60% of problems in the android platform APP, and can prevent the APP abnormity in advance, thereby greatly accelerating the test speed and improving the test efficiency.
2. According to the method, through APP abnormal problem analysis, the type of the APP abnormal problem is firstly positioned, then the APP operation steps, functions and business logic are analyzed, the essential reason of the abnormal problem is known, the abnormal problem is positioned according to the essential reason and the abnormal monitoring log, a repairing scheme is formulated, the APP abnormal problem is repaired, the occurrence of the APP abnormal problem is prevented in advance, and the APP abnormal problem can be eliminated in the development stage through an APP abnormal problem library and an APP abnormal repairing scheme library.
3. The method establishes an abnormal problem library and a problem repairing scheme library to rapidly repair the repeated APP abnormal problems.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flowchart of APP anomaly testing according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1, the invention relates to an android platform APP anomaly testing method, which includes the following steps:
analyzing and storing the attribute information of the APP to be detected, and simultaneously embedding points into the APP to be detected;
the APP buried points comprise exposure buried points and non-exposure buried points; the method comprises the steps of performing behavior data monitoring (time, place, person, interaction and interactive content) on the APP to be tested, quality data monitoring (browser loading condition, error abnormity and the like), environment data monitoring (browser-related metadata, geography, operators and the like), and operation data monitoring (PV, UV, conversion rate and retention rate).
Performing interface abnormity test, function abnormity test, network abnormity test, safety abnormity test and mobile equipment operation abnormity test on the APP to be tested;
the interface abnormity testing method comprises the following steps:
1) constructing dirty data by operating a database or other means, and testing the error handling capacity of the server;
2) forcibly modifying a return value by using a mock or a bale grabbing tool, and testing the fault tolerance of the APP terminal;
3) and (3) changing specific parameters by using scripts or manually, wherein the specific parameters comprise types, content lengths, null, deletion of the conditions which do not meet the specification and the like, so that the fault tolerance and maturity of the APP are tested.
The functional abnormality testing method comprises the following steps:
1) carrying out interruption operation in the installation, unloading, starting and running processes of the APP;
2) the APP establishes a scene according to the result, the service flow is interrupted, the service flow is reverse, and the operation of the informal service flow is performed;
3) APP boundary value testing, and subscript boundary crossing operation;
4) APP inputs special characters, characters exceeding the limit of business rules, null, scripting language, SQL sentences and other operations;
5) in the APP operation process, table data or table operation in a database is illegally deleted or modified;
6) the APP when the memory of the equipment is insufficient downloads pictures or installs other APPs;
7) the method comprises the following steps that a plurality of devices and a plurality of operating systems are adopted, a plurality of accounts are logged in, and the APP is frequently operated for a plurality of times;
8) the APP performs the operation of adding, deleting and changing important information;
9) running a plurality of APPs in the background of the mobile phone, and then running the APP to be tested to build the operation of insufficient memory and memory leakage;
10) the APP performs third-party SDK abnormal operation in the APP;
11) rapid repetitive violent APP operation;
12) and carrying out random quick operation by using Monkey.
The network anomaly testing method comprises the following steps:
1) switching a network 3G/4G/Wifi, and performing APP abnormal test under the condition that the network environment is severe or frequently changed;
2) simulating a weak network environment to carry out APP abnormal test;
3) APP exception testing in an environment without a network;
4) the APP network operates overtime.
The safety exception testing method comprises the following steps:
1) turning off all system permissions of the APP, and accessing all system permission related pages and functions, such as: photo album, photograph, positioning, opening wifi, Bluetooth and GPS permissions;
2) performing abnormity tests on the aspects of APP installation and uninstallation, data safety, communication safety and human-computer interface safety;
3) forcibly deleting some files of the APP to be tested, and testing whether the prompt of the system to be tested is accurate and then carrying out relevant remedy prompt or operation.
The mobile terminal equipment abnormity testing method comprises the following steps:
1) in the APP operation process, the mobile phone transverse and vertical screens, the mobile phone language switching, the mobile phone font adjusting, the mobile phone permission prohibiting, the mobile phone flight starting mode, the mobile phone network switching, the mobile phone background deleting, the mobile phone Home key, the mobile phone power key and the like are adopted;
2) in the APP operation process, rapid operation is carried out, a conflict scene is created, rapid violent operation is carried out, and the pull-up and pull-down refreshing is carried out rapidly for multiple times;
3) multipoint touch is carried out in the APP running process, operation is carried out simultaneously, and a scene of resource competition is created;
4) the method comprises the following conditions of sudden incoming call, sudden short message receiving, alarm clock, low power, conference reminding system and the like in the APP operation process;
5) the recovery capability of the software is tested by interruption operation such as power failure, network disconnection, shutdown, restart and the like in the APP operation process;
6) and standby in the APP running process, and plugging and unplugging the data line and the earphone.
The abnormal data analysis and repair method comprises the following steps:
7) analyzing the APP abnormal problem, namely positioning the APP abnormal problem category, and analyzing the APP operation step, function and service logic;
8) APP abnormal repairing, namely knowing the essential reason of the abnormal problem, positioning the abnormal problem according to the essential reason and the abnormal monitoring log and making a repairing scheme;
9) after the APP abnormity is repaired, APP abnormity verification is carried out, so that the resources of the APP business and the system are quickly recovered to be normal.
If abnormal data occur, the APP buried point collects the APP abnormality through an APP abnormality reporting mechanism, abnormal data analysis and repair are carried out on the abnormal data generated in the APP abnormality test to be tested, an abnormality problem library and a repair problem scheme library are established, and the APP abnormality repair to be tested is completed;
the abnormal problem library and the problem repairing scheme library form an APP abnormal problem library by collecting and sorting APP abnormal problems, and the abnormal repairing scheme is collected and sorted after the APP abnormal verification to form a repairing scheme library.
And if no abnormal data exists, completing the abnormal test of the APP to be tested.
The abnormal problem database and the repair problem scheme database are stored in the cloud database.
Through the analysis of the APP abnormal problem, the APP abnormal problem category is firstly positioned, the APP operation steps, functions and business logic are analyzed, the essential reason of the abnormal problem is known, the abnormal problem is positioned and a repair scheme is formulated according to the essential reason and the abnormal monitoring log, the APP abnormal problem is repaired, the occurrence of the APP abnormal is prevented in advance, and the APP abnormal problem can be eliminated in the development stage through the APP abnormal problem library and the APP abnormal repair scheme library.
Example two:
an android platform APP abnormity testing device comprises an interface abnormity testing module, a function abnormity testing module, a network abnormity testing module, a safety abnormity testing module and a mobile equipment operation abnormity testing module, wherein the interface abnormity testing module is used for performing interface abnormity testing, the function abnormity testing module is used for performing function abnormity testing, the safety abnormity testing module is used for performing safety abnormity testing, and the mobile equipment operation abnormity testing module is used for performing mobile equipment operation abnormity testing;
the interface abnormity testing module, the function abnormity testing module, the network abnormity testing module, the safety abnormity testing module and the mobile equipment operation abnormity testing module form an APP monitoring system.
The APP monitoring system comprises the following monitoring steps:
the APP to be tested carries out real-time monitoring on interface abnormity, function abnormity, network abnormity, safety abnormity and mobile equipment operation abnormity in the iteration process;
if abnormal data are found, searching an APP abnormal problem library, if the same abnormal problems exist, directly repairing the problems according to a problem repairing scheme, if the same APP abnormal problems do not exist, analyzing and repairing the APP abnormal problems, and establishing an abnormal problem library and a problem repairing scheme library;
if no abnormal data exists, the real-time monitoring of the abnormality is continued.
From the unusual test of tall and erect platform APP, can discover that 60% problem in tall and erect platform APP can prevent the APP unusually in advance simultaneously, greatly accelerated test speed, improved efficiency of software testing.
Example three:
before performing the abnormal test, the structures of the APP and the service end system to be tested must be known, including the system module division, the dependent service, the data flow direction, the on-line deployment condition and the like. Because the exception test is to insert exceptions among all modules, the system can not operate according to the original flow.
The android platform APP abnormity test to be tested firstly carries out abnormity tests such as interface abnormity test, function abnormity test, network abnormity test, safety abnormity test and mobile equipment operation abnormity test, abnormity problems found in the APP abnormity test process to be tested are analyzed and repaired, and an abnormity problem library and a repair problem scheme library are established.
Embedding points of APP to be tested before the APP to be tested is tested abnormally by the android platform, analyzing and repairing the abnormal problems reported by the APP to be tested abnormally according to an abnormal reporting mechanism of the APP to be tested when the abnormal problems are found by performing abnormal testing on the APP to be tested, and establishing an abnormal problem library and a problem repairing scheme library.
The android platform APP iteration process that awaits measuring uses monitored control system to carry out real time monitoring to the software state, in time detects the unusual action that has taken place or is about to take place, retrieves the APP abnormal problem bank that awaits measuring earlier, if there is the same abnormal problem can directly be restoreed according to the repair problem scheme, if there is not the same APP abnormal problem that awaits measuring, carries out the APP abnormal problem that awaits measuring again and analyzes and restores to establish abnormal problem bank and repair problem scheme storehouse.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it can be understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above can be implemented by instructing the relevant hardware through a program, and the corresponding program can be stored in a computer-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (10)
1. An android platform APP anomaly testing method is characterized by comprising the following steps:
analyzing and storing the attribute information of the APP to be detected, and simultaneously embedding points into the APP to be detected;
performing interface abnormity test, function abnormity test, network abnormity test, safety abnormity test and mobile equipment operation abnormity test on the APP to be tested;
if abnormal data occur, the APP buried point collects the APP abnormality through an APP abnormality reporting mechanism, abnormal data analysis and repair are carried out on the abnormal data generated in the APP abnormality test to be tested, an abnormality problem library and a repair problem scheme library are established, and the APP abnormality repair to be tested is completed;
and if no abnormal data exists, completing the abnormal test of the APP to be tested.
2. The android platform APP anomaly testing method of claim 1, wherein the APP buried points comprise exposed buried points and non-exposed buried points; and performing behavior data monitoring, quality data monitoring, environment data monitoring and operation data monitoring on the APP to be detected.
3. The android platform APP anomaly testing method of claim 1, wherein the interface anomaly testing steps are as follows:
1) constructing dirty data by operating a database or other means, and testing the error handling capacity of the server;
2) forcibly modifying a return value by using a mock or a bale grabbing tool, and testing the fault tolerance of the APP terminal;
3) and (3) changing specific parameters by using scripts or manually, wherein the specific parameters comprise types, content lengths, null, deletion of the conditions which do not meet the specification and the like, so that the fault tolerance and maturity of the APP are tested.
4. The android platform APP anomaly testing method according to claim 1, wherein the functional anomaly testing step is as follows:
1) carrying out interruption operation in the installation, unloading, starting and running processes of the APP;
2) the APP establishes a scene according to the result, the service flow is interrupted, the service flow is reverse, and the operation of the informal service flow is performed;
3) APP boundary value testing, and subscript boundary crossing operation;
4) APP inputs special characters, characters exceeding the limit of business rules, null, scripting language, SQL sentences and other operations;
5) in the APP operation process, table data or table operation in a database is illegally deleted or modified;
6) the APP when the memory of the equipment is insufficient downloads pictures or installs other APPs;
7) the method comprises the following steps that a plurality of devices and a plurality of operating systems are adopted, a plurality of accounts are logged in, and the APP is frequently operated for a plurality of times;
8) the APP performs the operation of adding, deleting and changing important information;
9) running a plurality of APPs in the background of the mobile phone, and then running the APP to be tested to build the operation of insufficient memory and memory leakage;
10) the APP performs third-party SDK abnormal operation in the APP;
11) rapid repetitive violent APP operation;
12) and carrying out random quick operation by using Monkey.
5. The android platform APP anomaly testing method of claim 1, wherein the network anomaly testing step is as follows:
1) switching a network 3G/4G/Wifi, and performing APP abnormal test under the condition that the network environment is severe or frequently changed;
2) simulating a weak network environment to carry out APP abnormal test;
3) APP exception testing in an environment without a network;
4) the APP network operates overtime.
6. The android platform APP anomaly testing method of claim 1, wherein the safety anomaly testing steps are as follows:
1) turning off all system permissions of the APP, and accessing all system permission related pages and functions, such as: photo album, photograph, positioning, opening wifi, Bluetooth and GPS permissions;
2) performing abnormity tests on the aspects of APP installation and uninstallation, data safety, communication safety and human-computer interface safety;
3) forcibly deleting some files of the APP to be tested, and testing whether the prompt of the system to be tested is accurate and then carrying out relevant remedy prompt or operation.
7. The android platform APP anomaly testing method according to claim 1, wherein the mobile terminal device anomaly testing step is as follows:
1) in the APP operation process, the mobile phone transverse and vertical screens, the mobile phone language switching, the mobile phone font adjusting, the mobile phone permission prohibiting, the mobile phone flight starting mode, the mobile phone network switching, the mobile phone background deleting, the mobile phone Home key, the mobile phone power key and the like are adopted;
2) in the APP operation process, rapid operation is carried out, a conflict scene is created, rapid violent operation is carried out, and the pull-up and pull-down refreshing is carried out rapidly for multiple times;
3) multipoint touch is carried out in the APP running process, operation is carried out simultaneously, and a scene of resource competition is created;
4) the method comprises the following conditions of sudden incoming call, sudden short message receiving, alarm clock, low power, conference reminding system and the like in the APP operation process;
5) the recovery capability of the software is tested by interruption operation such as power failure, network disconnection, shutdown, restart and the like in the APP operation process;
6) and standby in the APP running process, and plugging and unplugging the data line and the earphone.
8. The android platform APP anomaly testing method of claim 1, wherein the anomaly data analysis and repair steps are as follows:
1) analyzing the APP abnormal problem, namely positioning the APP abnormal problem category, and analyzing the APP operation step, function and service logic;
2) APP abnormal repairing, namely knowing the essential reason of the abnormal problem, positioning the abnormal problem according to the essential reason and the abnormal monitoring log and making a repairing scheme;
3) after the APP abnormity is repaired, APP abnormity verification is carried out, so that the resources of the APP business and the system are quickly recovered to be normal.
9. The android platform APP anomaly testing method of claim 1, wherein the anomaly problem library and the repair problem scheme library form an APP anomaly problem library by collecting and sorting APP anomaly problems, and the anomaly repair scheme is collected and sorted after APP anomaly verification to form a repair scheme library;
the abnormal problem database and the repair problem scheme database are stored in a cloud database.
10. An android platform APP anomaly testing device is characterized by comprising an interface anomaly testing module, a function anomaly testing module, a network anomaly testing module, a safety anomaly testing module and a mobile equipment operation anomaly testing module, wherein the interface anomaly testing module is used for performing interface anomaly testing, the function anomaly testing module is used for performing function anomaly testing, the safety anomaly testing module is used for performing safety anomaly testing, and the mobile equipment operation anomaly testing module is used for performing mobile equipment operation anomaly testing;
the interface abnormity testing module, the function abnormity testing module, the network abnormity testing module, the safety abnormity testing module and the mobile equipment operation abnormity testing module form an APP monitoring system.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111555940A (en) * | 2020-04-28 | 2020-08-18 | 北京字节跳动网络技术有限公司 | Client test method and device, electronic equipment and computer readable storage medium |
| CN113641667A (en) * | 2021-08-12 | 2021-11-12 | 深圳市润迅通投资有限公司 | Data abnormity monitoring system and method of distributed big data acquisition platform |
| CN113836013A (en) * | 2021-09-17 | 2021-12-24 | 深圳Tcl新技术有限公司 | Embedded point testing method and device, computer equipment and computer readable storage medium |
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| CN113641667A (en) * | 2021-08-12 | 2021-11-12 | 深圳市润迅通投资有限公司 | Data abnormity monitoring system and method of distributed big data acquisition platform |
| CN113641667B (en) * | 2021-08-12 | 2022-05-20 | 深圳市润迅通投资有限公司 | Data abnormity monitoring system and method of distributed big data acquisition platform |
| CN113836013A (en) * | 2021-09-17 | 2021-12-24 | 深圳Tcl新技术有限公司 | Embedded point testing method and device, computer equipment and computer readable storage medium |
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Application publication date: 20200117 |