CN112540919B - Test equipment determining method and device - Google Patents
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Abstract
The specification provides a test equipment determining method and a device, wherein the test equipment determining method comprises the following steps: under the condition that a test task aiming at an object to be tested is detected, determining whether the object to be tested is an online object or not; acquiring target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object; and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result. Therefore, the operation data can be fully utilized, the corresponding target equipment with higher user coverage rate is acquired for the object to be tested, and then the acquired target equipment related to the object to be tested is subjected to statistical sorting, so that the test equipment for the object to be tested is accurately determined.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method for determining a test device. The present specification also relates to a test device determining apparatus, a computing device, and a computer-readable storage medium.
Background
With the rapid development of computer technology and network technology, various applications have been developed, and have become an indispensable tool for most people to work and life, such as communication applications, document applications, games, and the like. And before the application programs are online or updated, compatibility tests are required to be carried out on different devices, so that each device can be ensured to normally operate the application programs.
In the prior art, related personnel often inquire and count on the internet manually or automatically collect and count the number of users of different devices based on huge user data information, so that the device with the top ranking of the user coverage rate is selected as the testing device to test the application program to be tested.
However, if manual inquiry is adopted, the actual samples are less, the updating is slow, a large amount of human resources are required to be consumed, and the inquiry efficiency is low; the automatic query is based on huge user data information, when the user data information is insufficient, the query result is inaccurate, the real data is not depended and verified, and the reliability of the query result is low. In addition, whether manual inquiry or automatic inquiry is carried out, the test equipment to be used is determined directly based on the total user coverage rate, and the accuracy of the test equipment is determined to be low, so that the actual test coverage rate of the compatibility test is low, and the data is used for the compatibility test and has a certain deviation from an actual result.
Disclosure of Invention
In view of this, the present specification embodiments provide a test apparatus determining method. The specification also relates to a test device determining apparatus, a computing device, and a computer-readable storage medium, for solving the problem of low actual test coverage of a compatibility test in the prior art.
According to a first aspect of embodiments of the present specification, there is provided a test apparatus determining method, including:
under the condition that a test task aiming at an object to be tested is detected, determining whether the object to be tested is an online object or not;
acquiring target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object;
and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result.
According to a second aspect of embodiments of the present specification, there is provided a test device determining apparatus comprising:
the first determining module is configured to determine whether the object to be tested is an online object or not under the condition that a test task for the object to be tested is detected;
The acquisition module is configured to acquire target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object;
and the second determining module is configured to count the target equipment according to the statistical index and determine target test equipment aiming at the object to be tested according to the statistical result.
According to a third aspect of embodiments of the present specification, there is provided a computing device comprising:
a memory and a processor;
the memory is configured to store computer-executable instructions and the processor is configured to execute the computer-executable instructions to implement the method of:
under the condition that a test task aiming at an object to be tested is detected, determining whether the object to be tested is an online object or not;
acquiring target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object;
and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result.
According to a fourth aspect of embodiments of the present description, there is provided a computer readable storage medium storing computer executable instructions which, when executed by a processor, implement the steps of any of the test device determination methods.
According to the test equipment determining method provided by the specification, under the condition that a test task aiming at an object to be tested is detected, whether the object to be tested is an online object or not is determined; acquiring target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object; and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result. Under the condition, the operation data can be fully utilized, the corresponding target equipment with higher user coverage rate is acquired for the object to be tested, and then the acquired target equipment related to the object to be tested is subjected to statistical sorting, so that the test equipment for the object to be tested is determined; therefore, the determined test equipment is equipment related to the object to be tested, and the accuracy of determining the test equipment is improved, so that the accuracy of the actual test coverage rate of the compatibility test is improved, and meanwhile, the test team is convenient to manage and purchase the test equipment.
Drawings
FIG. 1 is a flow chart of a method for determining a test device according to an embodiment of the present disclosure;
FIG. 2 is a process flow diagram of another test equipment determination method provided in an embodiment of the present disclosure;
FIG. 3 is a schematic structural view of a test device determining apparatus according to an embodiment of the present disclosure;
FIG. 4 is a block diagram of a computing device according to one embodiment of the present disclosure.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many other forms than described herein and similarly generalized by those skilled in the art to whom this disclosure pertains without departing from the spirit of the disclosure and, therefore, this disclosure is not limited by the specific implementations disclosed below.
The terminology used in the one or more embodiments of the specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of the specification. As used in this specification, one or more embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that, although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
First, an application scenario of the present specification will be explained.
The compatibility test belongs to one of functional tests, is mainly applied to testing on-line or before updating of games/applications, and because the current equipment model and brand fragmentation is serious, a test team can purchase a large amount of test equipment and even build a cloud testing platform to improve the compatibility test coverage rate, so that more users are ensured to have good use experience, and the user coverage rate also becomes one of key indexes in purchasing equipment and improving the compatibility test.
At present, the manner of obtaining the coverage rate of the user is divided into the following two modes:
(1) Manual query: related personnel are generally required to inquire and count on the internet, for example, the top100 user coverage mobile phone and the user number thereof on the market are searched. However, manual inquiry has few actual samples and slow updating, so that the inquiry result is inaccurate; moreover, a large amount of manpower resources are required to be consumed for manual inquiry, time and labor are wasted, and the inquiry efficiency is low; in addition, the reliability of the query result data is low because no real data is relied on and verified.
(2) Automatic acquisition: based on huge user data information, the mobile phone coverage rate of the user and the number of users of the mobile phone are automatically collected and counted. However, automatic acquisition depends on acquisition of huge user data, and insufficient user numbers can lead to inaccuracy of the counted user coverage rate mobile phones and the user numbers thereof; and the automatic acquisition is not performed with real-time data extraction and update.
Taking a top100 user coverage mobile phone and a user number thereof on the market as an example, whether manual inquiry or automatic acquisition is carried out, the total user coverage mobile phone and the user number thereof are generally acquired, but the top100 user coverage mobile phone and the user number thereof of an application or a game to be tested are not obtained, and compatibility test is carried out by using the data, so that a certain deviation exists between an actual result.
In the two existing test modes, the query result of manual query is inaccurate, the data acquisition efficiency is low, the reliability of the query result data is low, and the coverage rate accuracy of the compatibility test is low. The automatic acquisition mode effectively solves the defect of manual inquiry, but the automatic inquiry needs to be based on huge user data, and because the coverage rate used is the total user coverage rate, the automatic inquiry is not screened for the application or game to be tested, and the test result and the actual result have certain deviation.
Therefore, in order to improve the accuracy of determining test equipment and thus improve the accuracy of the actual test coverage of a compatibility test, the application provides a test equipment determining method, which determines whether an object to be tested is an online object or not under the condition that a test task aiming at the object to be tested is detected; acquiring target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object; and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result. Under the condition, the operation data can be fully utilized, the corresponding target equipment with higher user coverage rate is acquired for the object to be tested, and then the acquired target equipment related to the object to be tested is subjected to statistical sorting, so that the test equipment for the object to be tested is determined; thus, the determined test equipment is equipment related to the object to be tested, and the accuracy of determining the test equipment is improved, so that the coverage rate accuracy of the compatibility test is improved.
In the present specification, a test device determining method is provided, and the present specification relates to a test device determining apparatus, a computing device, and a computer-readable storage medium, one by one, in the following embodiments.
Fig. 1 shows a flowchart of a test equipment determining method according to an embodiment of the present disclosure, which specifically includes the following steps:
step 102: and under the condition that the test task aiming at the object to be tested is detected, determining whether the object to be tested is an online object or not.
Specifically, the object to be tested refers to an object to be online or updated, and compatibility test needs to be performed on different devices, for example, the object to be tested may be an application program to be online, a game to be online, an application program to be updated, or a game to be updated. The test task is triggered by a worker through a preset operation, and can carry the identification of the object to be tested, so that the object to be tested can be determined according to the identification.
In specific implementation, the program environment can be installed first, the compatibility test platform is deployed and comprises the equipment with high relevant market share, and the compatibility test platform can be connected to the operation database related to the object to be tested. Then, the number of test devices to be tested, such as the top 100 devices, the top 300 devices, the top 600 devices, etc., of the user coverage are selected, and then test tasks for the object to be tested are created and executed. That is, the staff can initiate a test task for the object to be tested in the compatibility test platform, and the test task can carry the number of the required test devices besides the identifier of the object to be tested.
It should be noted that, a test task can be initiated for the object to be tested, so that related user data can be acquired for the object to be tested conveniently, and therefore, the device with high user coverage rate is determined to be used as the test device. Because the corresponding user data only exists after the object to be tested is online, under the condition that the test task aiming at the object to be tested is detected, whether the object to be tested is an online object or not needs to be further determined, and different measures are taken to acquire the corresponding user data respectively aiming at whether the object to be tested is online or not.
Step 104: and under the condition that the object to be detected is an online object, acquiring target equipment corresponding to the object to be detected.
Specifically, on the basis of determining whether the object to be tested is an online object or not under the condition that a test task for the object to be tested is detected, further, acquiring target equipment corresponding to the object to be tested under the condition that the object to be tested is the online object. The target device is a device which downloads or installs the object to be tested.
It should be noted that if the object to be tested is an online object, the object to be tested will have corresponding user data, that is, which users download or install the device to be tested through which devices, and then the target device with high user coverage rate for the object to be tested can be determined by performing statistical analysis on the user data.
In the application, aiming at the online object, the operation database of the object to be tested can be connected, the equipment model of the target equipment downloaded or installed with the object to be tested and the number of users thereof are inquired and listed, and the user coverage rate of the acquired target equipment is convenient for subsequent statistics, so that the testing equipment for testing the object to be tested is further determined.
Step 106: and under the condition that the object to be detected is an offline object, acquiring target equipment corresponding to the category to which the object to be detected belongs.
Specifically, on the basis of determining whether the object to be tested is an online object or not under the condition that a test task for the object to be tested is detected, further, on the basis of obtaining target equipment corresponding to the category to which the object to be tested belongs under the condition that the object to be tested is an offline object. The target device is a device for downloading or installing the object of the class to which the object to be tested belongs.
In an optional implementation manner of this embodiment, since, for an offline object, it is required to obtain a target device corresponding to a class to which the object to be measured belongs, that is, it is required to obtain user data of an online object of the class to which the object to be measured belongs, it is required to classify all online objects in advance, that is, before determining whether the object to be measured is an online object, the method further includes:
Acquiring an online object;
and classifying the online objects to obtain at least one type of online object group.
By way of example, the online object group may be a role playing game, a shooting game, an administration game, a racing game, a music game, a social application, an online shopping payment application, a conversation communication application, a consumer application, and the like.
It should be noted that, the online objects are classified to obtain at least one type of online object group, and then, for the offline objects, user data of the corresponding online object group can be determined according to the category of the online object group, so as to perform subsequent statistical analysis.
In an optional implementation manner of this embodiment, the specific implementation process of obtaining the target device corresponding to the class to which the object to be measured belongs may be as follows:
determining the category of the object to be detected;
acquiring the online object group of the category;
and determining the target equipment corresponding to the online object group as target equipment corresponding to the class to which the object to be detected belongs.
It should be noted that if the object to be detected is an offline object, the object to be detected does not have corresponding user data, so that the category to which the object to be detected belongs can be determined first, then the user data of the online object group of the category can be obtained, and then the target device with high user coverage rate for the object to be detected can be determined by performing statistical analysis on the user data of the online objects of the same category.
In the application, for the non-online object, the method can be connected to an operation database corresponding to the online object group of the category to which the object to be tested belongs, and the target equipment of the online object included in the online object group is queried and listed, so that the user coverage rate of the target equipment obtained by subsequent statistics is facilitated, and the test equipment for testing the object to be tested is further determined.
Step 108: and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result.
Specifically, under the condition that the object to be detected is an online object, acquiring target equipment corresponding to the object to be detected; and further, counting the target equipment according to a statistical index on the basis of acquiring the target equipment corresponding to the category to which the object to be tested belongs under the condition that the object to be tested is an offline object, and determining target test equipment aiming at the object to be tested according to a statistical result. The statistical index refers to an index for counting the number of target devices, and for example, the statistical index may be a device model number, a system version number, and the like.
In an optional implementation manner of this embodiment, the statistical indicator is a device model, the statistics is performed on the target device according to the statistical indicator, and the target test device for the object to be tested is determined according to the statistical result, where a specific implementation process may be as follows:
Counting and sequencing the number of the target devices according to the device model;
and selecting a preset number of target devices as target test devices aiming at the object to be tested.
Specifically, the preset value refers to the number of test devices required for testing the object to be tested when the test task for the object to be tested is created, that is, the number carried in the test task, for example, the preset value may be 100, 300, 600, and the like.
In actual implementation, for the obtained target device, the device models may be ranked according to the number of users from high to low, and the device models with the preset number value before are extracted as the test device (if top100 is selected, the first 100 device models are extracted as the test device), and then the extracted device models are listed and compatibility test is performed on the object to be tested by using the device with the model.
The obtained target device is, for example: brand a model 1 cell phone, 100; brand a model 2 handsets, 75; brand a model 3 handsets, 120; brand B model 1 handsets, 80; brand B model 2 handsets, 250; model 1 mobile phone of brand C, 270; and model 2 mobile phones with brand C and 85 mobile phones. And sorting the number of users corresponding to the device models of the target devices to obtain a target device user number sorting table shown in the following table 1, and selecting the first 3 device models, namely a brand-C model 1 mobile phone, a brand-B model 2 mobile phone and a brand-A model 3 mobile phone, as test devices for testing the objects to be tested as shown in the following table 1.
TABLE 1 user ranking table for target devices
In an optional implementation manner of this embodiment, counting and sorting the number of the target devices according to the device model includes:
determining a device model of the target device;
counting the number of target devices corresponding to a target device model aiming at the target device model, wherein the target device model is any device model of the target device;
and sorting the different equipment models corresponding to the target equipment according to the number of the target equipment.
It should be noted that, any obtained target device has a corresponding device model, the device model of each target device is determined, then for one device model, the number of the device models is counted, the number is the number of users corresponding to the target device of the device model, and then for different device models, the device models can be sorted according to the number of users from high to low.
For example, 100 target devices are all brand-a model 1 mobile phones, and the number of users corresponding to the brand-a model 1 mobile phones is 100; 75 target devices are all brand-A type 2 mobile phones, and the number of users corresponding to the brand-A type 2 mobile phones is 75; 120 target devices are all brand-A type 3 mobile phones, and the number of users corresponding to the brand-A type 3 mobile phones is 120; 80 target devices are all the mobile phones with the brand-B model 1, and the number of users corresponding to the mobile phones with the brand-B model 1 is 80; 250 target devices are all brand-B type 2 mobile phones, and the number of users corresponding to the brand-B type 2 mobile phones is 250; there are 270 target devices that are all brand-C model 1 handsets, then the number of users corresponding to the C brand model 1 mobile phone is 270; and 85 target devices are all the mobile phones with the model number of C, and the number of users corresponding to the mobile phones with the model number of C is 85.
In an optional implementation manner of this embodiment, the statistical indicator is a device model number and a system version number, the statistics is performed on the target device according to the statistical indicator, and the target test device for the object to be tested is determined according to the statistical result, where a specific implementation process may be as follows:
counting and sequencing the number of the target devices according to the device model number and the system version number;
and selecting a preset number of target devices as target test devices aiming at the object to be tested.
In actual implementation, for the obtained target device, different device models and system version numbers can be ordered according to the number of users from high to low, the device models and system version numbers with the preset values are extracted as test devices (if top100 is selected, the device models and system version numbers with the preset values are extracted as test devices), then the extracted device models and system version numbers are listed, and compatibility tests are carried out on the objects to be tested by using the devices with the models and the system version numbers. It should be noted that, the device model number and the system version number are the same as a whole, and if they are different, the numbers are counted separately.
The obtained target device is, for example: a brand A mobile phone, a model 1 mobile phone and a system version 1 mobile phone, and the number of the mobile phones is 85; a brand A mobile phone, a model 1 mobile phone and a system version 2 mobile phone, and 15 mobile phones; a brand A mobile phone, a model 2 mobile phone and a system version 1 mobile phone, and 10 mobile phones; a mobile phone with brand A, model 2 and system version 2, 65; b brand, model 2, mobile phone of system version 1, 80; brand B, model 2, system version 2 cell phones, 100; brand B, model 2, system version 3, 70. And sorting the number of users corresponding to the equipment model numbers and the system version numbers of the target equipment to obtain a target equipment user number sorting table shown in the following table 2, and selecting the mobile phones of the first 3 equipment models and the system version numbers, namely the mobile phones of the brand B, the model 2 and the system version 2, the mobile phones of the brand A, the model 1 and the system version 1, and the mobile phones of the brand B, the model 2 and the system version 1 as test equipment for testing the object to be tested as shown in the following table 2.
Table 2 user number ordering table of target devices
| Device model number and System version number | Number of users |
| Mobile phone with brand B, model 2 and system version 2 | 100 pieces of |
| Mobile phone with brand A, model 1 and system version 1 | 85 |
| Mobile phone with brand B, model 2 and system version 1 | 80 pieces of |
| Mobile phone with brand B, model 2 and system version 3 | 70 pieces of |
| Mobile phone with brand A, model 2 and system version 2 | 65 pieces of |
| Mobile phone with A brand, model 1 and system version 2 | 15 |
| Mobile phone with brand A, model 2 and system version 1 | 10 pieces |
In an optional implementation manner of this embodiment, counting and sorting the number of the target devices according to the device model number and the system version number includes:
determining the device model number and the system version number of the target device;
counting the number of target devices corresponding to the target device model and the system version number aiming at the target device model and the system version number, wherein the target device model and the system version number are any device model and system version number of the target device;
and sorting the different device models and system version numbers corresponding to the target devices according to the number of the target devices.
It should be noted that, any obtained target device has a corresponding device model and a system version number, a device model and a system version number of each target device are determined, then for one device model and a system version number, the number is counted, namely, the number of users corresponding to the target device of the device model and the system version number, and then for different device models and system version numbers, the ordering can be performed according to the number of users from high to low.
For example, 85 target devices are mobile phones of brand a, model 1 and system version 1, and the number of users corresponding to the mobile phones of brand a, model 1 and system version 1 is 85; 15 target devices are mobile phones of the brand A, the model 1 and the system version 2, and the number of users corresponding to the mobile phones of the brand A, the model 1 and the system version 2 is 15; 10 target devices are mobile phones of brand A, model 2 and system version 1, and the number of users corresponding to the mobile phones of brand A, model 2 and system version 1 is 10; the 65 target devices are mobile phones of the brand A, the model 2 and the system version 2, and the number of users corresponding to the mobile phones of the brand A, the model 2 and the system version 2 is 65; 80 target devices are mobile phones of brand B, model 2 and system version 1, and the number of users corresponding to the mobile phones of brand B, model 2 and system version 1 is 85; 100 target devices are mobile phones of brand B, model 2 and system version 2, and the number of users corresponding to the mobile phones of brand B, model 2 and system version 2 is 100; 70 target devices are mobile phones of brand B, model 2 and system version 3, and the number of users corresponding to the mobile phones of brand B, model 2 and system version 3 is 85.
In an optional implementation manner of this embodiment, before counting, for a target device model, the number of target devices corresponding to the target device model, the method further includes:
determining whether target equipment corresponding to the same user account exists or not according to the target equipment model;
if yes, the target devices of the same user account are subjected to de-duplication, and the operation steps of counting the number of the target devices corresponding to the target device model are executed.
It should be noted that if the user downloads the object to be measured using the target device, then deletes the object to be measured, and then downloads the object to be measured again after a period of time, at this time, there will be two download records for the target device, but only one user actually corresponds to the target device, at this time, the target device may be de-duplicated, i.e. only any record in the two download records is reserved. In addition, in addition to performing duplicate removal of the same user account for the device model, duplicate removal of the same user account can also be performed for the device model and the system version number, and detailed processes are similar and will not be described here again.
In the method, the device and the system, the downloading or installing data of the same user account through the same device (the same system version number) can be subjected to duplicate removal, misleading of repeated downloading or installing to the user coverage rate of the device is avoided, the accuracy of the user coverage rate of the target device is improved, and the accuracy of the test device for determining the object to be tested is further improved.
In an optional implementation manner of this embodiment, after determining the target test device for the object to be tested according to the statistical result, the method further includes:
determining current test equipment arranged in a test platform;
and determining and returning the testing equipment except the current testing equipment in the target testing equipment.
Specifically, the test platform refers to a compatibility test platform built in advance, and when the test platform is built in advance, some test devices (i.e. the current test devices of the test platform) are preset in the test platform, i.e. the test devices already held by the test platform. After the target test equipment aiming at the object to be tested is determined, the target test equipment which is not set by the test platform, namely the test equipment which has high coverage rate but is not held by the test team, and the subsequent test team can purchase the test equipment which is not held by the test team and test the object to be tested.
In an optional implementation manner of this embodiment, after the statistics is performed on the target device according to the statistics index and the target test device for the object to be tested is determined according to the statistics result, the method further includes:
determining the equipment model number and the current system version number of the current test equipment set in the test platform;
Determining whether the current system version number is the same as the system version number with the largest number in the target equipment of the equipment model;
if not, returning the system version number with the largest number in the target equipment of the equipment model.
It should be noted that, besides listing the target test equipment which is not set by the test platform, that is, the test equipment which is high in coverage rate but not held by the test team, the equipment model of the test equipment (that is, the current test equipment) which is set in the test platform can be determined, then the system version number with the highest user coverage rate corresponding to the equipment model is searched, then the system version number of the current test equipment is compared with the system version number with the highest coverage rate, if the system version number is inconsistent with the system version number with the highest coverage rate, the model number and the version number with the highest coverage rate are listed, so that the subsequent test team can conveniently upgrade the system of the test equipment with the model, and then the object to be tested is tested.
In practical application, a game is tested by adopting a testing scheme using the total user coverage rate in the market in the prior art, and in the application, based on the game to be tested, the testing mode of determining the user coverage rate in the user data related to the game to be tested is compared experimentally, and the conclusion is as follows: table 3 is an online game comparison table, and table 3 shows that when a game to be tested is online and has user data, the user coverage top100 mobile phone aiming at the game is used for compatibility test and the overall user coverage mobile phone on the market is used for comparison of test results, the user coverage is determined aiming at the game, the test equipment is determined, the finally covered user number is more accurate, and the coverage rate and the accuracy of the test results are higher.
TABLE 3 on-line Game comparison Table
In addition, table 4 is a comparison table of the non-online games, and table 4 shows that the results of testing a certain non-online game by using the mobile phone with the overall user coverage rate on the market and the mobile phone with the user coverage rate of the game are compared, and the actual test user coverage rate of the results obtained by testing the mobile phone top100 rank with the user coverage rate of the game is higher.
TABLE 4 comparison Table for offline Game
In summary, as can be seen from the above tables 3 and 4, compared with the scheme of performing compatibility test using the test of the general user coverage in the market in the prior art, the present application uses the user coverage corresponding to the test game or the test scheme of using the user coverage of such game, both the actual test coverage and the actual coverage are higher and more accurate, and the reliability of the test result is effectively improved.
According to the test equipment determining method provided by the specification, under the condition that a test task aiming at an object to be tested is detected, whether the object to be tested is an online object or not is determined; acquiring target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object; and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result. Under the condition, the operation data can be fully utilized, the corresponding target equipment with higher user coverage rate is acquired for the object to be tested, and then the acquired target equipment related to the object to be tested is subjected to statistical sorting, so that the test equipment for the object to be tested is determined; therefore, the determined test equipment is equipment related to the object to be tested, and the accuracy of determining the test equipment is improved, so that the accuracy of the actual test coverage rate of the compatibility test is improved, and meanwhile, the test team is convenient to manage and purchase the test equipment.
Fig. 2 shows a process flow chart of another test equipment determining method according to an embodiment of the present disclosure, specifically including the following steps:
step 202: and acquiring the online objects, and classifying the online objects to obtain at least one type of online object group.
Step 204: and under the condition that the test task aiming at the object to be tested is detected, determining whether the object to be tested is an online object or not.
Step 206: and under the condition that the object to be detected is an online object, acquiring target equipment corresponding to the object to be detected.
Step 208: determining the category of the object to be detected under the condition that the object to be detected is an offline object, and acquiring an online object group of the category; and determining the target equipment corresponding to the online object group as target equipment corresponding to the class to which the object to be detected belongs.
Step 210: and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result.
Step 212: and carrying out compatibility test on the object to be tested by using the target test equipment.
According to the test equipment determining method provided by the specification, the operation data can be fully utilized, the corresponding target equipment with higher user coverage rate is obtained for the object to be tested, and then the obtained target equipment related to the object to be tested is subjected to statistical sorting, so that the test equipment for the object to be tested is determined; therefore, the determined test equipment is equipment related to the object to be tested, and the accuracy of determining the test equipment is improved, so that the accuracy of the actual test coverage rate of the compatibility test is improved, and meanwhile, the test team is convenient to manage and purchase the test equipment.
The above is a schematic scheme of a test apparatus determination method of the present embodiment. It should be noted that, the technical solution of the test device determining method belongs to the same concept as the technical solution of the test device determining method shown in fig. 1, and details of the technical solution of the test device determining method which are not described in detail may be referred to the description of the technical solution of the test device determining method shown in fig. 1.
Corresponding to the method embodiment, the present disclosure further provides an embodiment of a test device determining apparatus, and fig. 3 shows a schematic structural diagram of the test device determining apparatus according to an embodiment of the present disclosure. As shown in fig. 3, the apparatus includes:
a first determining module 302, configured to determine whether an object to be tested is an online object if a test task for the object to be tested is detected;
the first obtaining module 304 is configured to obtain a target device corresponding to the object to be tested when the object to be tested is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object;
and the second determining module 306 is configured to count the target devices according to the statistical indexes, and determine the target test devices aiming at the object to be tested according to the statistical results.
Optionally, the acquisition module 304 is further configured to:
determining the category of the object to be detected;
acquiring the online object group of the category;
and determining the target equipment corresponding to the online object group as target equipment corresponding to the class to which the object to be detected belongs.
Optionally, the apparatus further includes:
the second acquisition module is configured to acquire an online object;
and the classification module is configured to classify the online objects to obtain at least one type of online object group.
Optionally, the second determining module 306 is further configured to:
counting and sequencing the number of the target devices according to the device model;
and selecting a preset number of target devices as target test devices aiming at the object to be tested.
Optionally, the second determining module 306 is further configured to:
determining a device model of the target device;
counting the number of target devices corresponding to a target device model aiming at the target device model, wherein the target device model is any device model of the target device;
and sorting the different equipment models corresponding to the target equipment according to the number of the target equipment.
Optionally, the second determining module 306 is further configured to:
counting and sequencing the number of the target devices according to the device model number and the system version number;
and selecting a preset number of target devices as target test devices aiming at the object to be tested.
Optionally, the second determining module 306 is further configured to:
determining the device model number and the system version number of the target device;
counting the number of target devices corresponding to the target device model and the system version number aiming at the target device model and the system version number, wherein the target device model and the system version number are any device model and system version number of the target device;
and sorting the different device models and system version numbers corresponding to the target devices according to the number of the target devices.
Optionally, the second determining module 306 is further configured to:
determining whether target equipment corresponding to the same user account exists or not according to the target equipment model;
if yes, the target devices of the same user account are subjected to de-duplication, and the operation steps of counting the number of the target devices corresponding to the target device model are executed.
Optionally, the apparatus further includes:
a third determining module configured to determine a current test device set in the test platform;
and the first return module is configured to determine and return the test equipment of the target test equipment except the current test equipment.
Optionally, the apparatus further includes:
a fourth determining module configured to determine a device model number and a current system version number of the current test device set in the test platform;
a fifth determining module configured to determine whether the current system version number and the most numerous system version number in the target device of the device model are the same; if not, returning the system version number with the largest number in the target equipment of the equipment model.
The test equipment determining device provided by the specification determines whether an object to be tested is an online object or not under the condition that a test task aiming at the object to be tested is detected; acquiring target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object; and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result. Under the condition, the operation data can be fully utilized, the corresponding target equipment with higher user coverage rate is acquired for the object to be tested, and then the acquired target equipment related to the object to be tested is subjected to statistical sorting, so that the test equipment for the object to be tested is determined; therefore, the determined test equipment is equipment related to the object to be tested, and the accuracy of determining the test equipment is improved, so that the accuracy of the actual test coverage rate of the compatibility test is improved, and meanwhile, the test team is convenient to manage and purchase the test equipment.
The above is a schematic version of a test apparatus determining device of the present embodiment. It should be noted that, the technical solution of the test equipment determining device and the technical solution of the test equipment determining method belong to the same concept, and details of the technical solution of the test equipment determining device, which are not described in detail, can be referred to the description of the technical solution of the test equipment determining method.
Fig. 4 illustrates a block diagram of a computing device 400 provided in accordance with an embodiment of the present specification. The components of the computing device 400 include, but are not limited to, a memory 410 and a processor 420. Processor 420 is coupled to memory 410 via bus 430 and database 450 is used to hold data.
Computing device 400 also includes access device 440, access device 440 enabling computing device 400 to communicate via one or more networks 460. Examples of such networks include the Public Switched Telephone Network (PSTN), a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or a combination of communication networks such as the internet. The access device 440 may include one or more of any type of network interface, wired or wireless (e.g., a Network Interface Card (NIC)), such as an IEEE802.11 Wireless Local Area Network (WLAN) wireless interface, a worldwide interoperability for microwave access (Wi-MAX) interface, an ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a bluetooth interface, a Near Field Communication (NFC) interface, and so forth.
In one embodiment of the present description, the above-described components of computing device 400, as well as other components not shown in FIG. 4, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device shown in FIG. 4 is for exemplary purposes only and is not intended to limit the scope of the present description. Those skilled in the art may add or replace other components as desired.
Computing device 400 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smart phone), wearable computing device (e.g., smart watch, smart glasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or PC. Computing device 400 may also be a mobile or stationary server.
Wherein the processor 420 is configured to execute the following computer executable instructions to implement the following method:
under the condition that a test task aiming at an object to be tested is detected, determining whether the object to be tested is an online object or not;
Acquiring target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object;
and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result.
The foregoing is a schematic illustration of a computing device of this embodiment. It should be noted that, the technical solution of the computing device and the technical solution of the above-mentioned test device determining method belong to the same concept, and details of the technical solution of the computing device, which are not described in detail, can be referred to the description of the technical solution of the above-mentioned test device determining method.
An embodiment of the present disclosure also provides a computer-readable storage medium storing computer instructions that, when executed by a processor, are configured to implement the method of:
under the condition that a test task aiming at an object to be tested is detected, determining whether the object to be tested is an online object or not;
acquiring target equipment corresponding to the object to be detected under the condition that the object to be detected is an online object; acquiring target equipment corresponding to the category to which the object to be detected belongs under the condition that the object to be detected is an offline object;
And counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result.
The above is an exemplary version of a computer-readable storage medium of the present embodiment. It should be noted that, the technical solution of the storage medium and the technical solution of the above-mentioned test equipment determining method belong to the same concept, and details of the technical solution of the storage medium which are not described in detail can be referred to the description of the technical solution of the above-mentioned test equipment determining method.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The computer instructions include computer program code that may be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
It should be noted that, for the sake of simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the present description is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present description. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all necessary in the specification.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
The preferred embodiments of the present specification disclosed above are merely used to help clarify the present specification. Alternative embodiments are not intended to be exhaustive or to limit the invention to the precise form 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 disclosure and the practical application, to thereby enable others skilled in the art to best understand and utilize the disclosure. This specification is to be limited only by the claims and the full scope and equivalents thereof.
Claims (13)
1. A test equipment determining method, comprising:
under the condition that a test task aiming at an object to be tested is detected, determining whether the object to be tested is an online object or not;
under the condition that the object to be tested is an online object, connecting to an operation database of the object to be tested, and inquiring target equipment corresponding to the object to be tested, wherein the target equipment is equipment downloaded or installed with the object to be tested;
determining the category to which the object to be detected belongs, connecting to an operation database corresponding to an online object group of the category to which the object to be detected belongs, and inquiring target equipment corresponding to the category to which the object to be detected belongs, wherein the target equipment is equipment for downloading or installing online objects included in the online object group, and the online objects included in the online object group are the same as the category to which the object to be detected belongs;
and counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result.
2. The method for determining a test device according to claim 1, wherein the querying the target device corresponding to the category to which the object to be tested belongs includes:
Acquiring the online object group of the category;
and determining the target equipment corresponding to the online object group as target equipment corresponding to the class to which the object to be detected belongs.
3. The test apparatus determining method according to claim 1 or 2, wherein before determining whether the object to be tested is an online object, further comprising:
acquiring an online object;
and classifying the online objects to obtain at least one type of online object group.
4. The test device determining method according to claim 1 or 2, wherein the statistical indicator is a device model, the statistics on the target device according to the statistical indicator is performed, and determining the target test device for the object to be tested according to the statistical result includes:
counting and sequencing the number of the target devices according to the device model;
and selecting a preset number of target devices as target test devices aiming at the object to be tested.
5. The test device determination method according to claim 4, wherein the counting and sorting the number of the target devices according to the device model includes:
determining a device model of the target device;
Counting the number of target devices corresponding to a target device model aiming at the target device model, wherein the target device model is any device model of the target device;
and sorting the different equipment models corresponding to the target equipment according to the number of the target equipment.
6. The method for determining a test device according to claim 1 or 2, wherein the statistical indicator is a device model number and a system version number, the statistics is performed on the target device according to the statistical indicator, and the determining the target test device for the object to be tested according to the statistical result includes:
counting and sequencing the number of the target devices according to the device model number and the system version number;
and selecting a preset number of target devices as target test devices aiming at the object to be tested.
7. The test device determination method of claim 6, wherein the counting and ordering the number of the target devices according to the device model number and the system version number comprises:
determining the device model number and the system version number of the target device;
counting the number of target devices corresponding to the target device model and the system version number aiming at the target device model and the system version number, wherein the target device model and the system version number are any device model and system version number of the target device;
And sorting the different device models and system version numbers corresponding to the target devices according to the number of the target devices.
8. The method for determining a test device according to claim 5, wherein before counting the number of target devices corresponding to the target device model for the target device model, further comprising:
determining whether target equipment corresponding to the same user account exists or not according to the target equipment model;
if yes, the target devices of the same user account are subjected to de-duplication, and the operation steps of counting the number of the target devices corresponding to the target device model are executed.
9. The test device determining method according to claim 1 or 2, wherein after determining the target test device for the object to be tested according to the statistical result, further comprising:
determining current test equipment arranged in a test platform;
and determining and returning the testing equipment except the current testing equipment in the target testing equipment.
10. The method for determining a test device according to claim 7, wherein after the target device is counted according to the statistics index and the target test device for the object to be tested is determined according to the statistics result, further comprising:
Determining the equipment model number and the current system version number of the current test equipment set in the test platform;
determining whether the current system version number is the same as the system version number with the largest number in the target equipment of the equipment model;
if not, returning the system version number with the largest number in the target equipment of the equipment model.
11. A test equipment determining apparatus, comprising:
the first determining module is configured to determine whether the object to be tested is an online object or not under the condition that a test task for the object to be tested is detected;
the acquisition module is configured to connect to an operation database of the object to be tested under the condition that the object to be tested is an online object, and inquire target equipment corresponding to the object to be tested, wherein the target equipment is equipment downloaded or installed with the object to be tested; determining a category to which the object to be detected belongs under the condition that the object to be detected is a non-online object, connecting to an operation database corresponding to an online object group corresponding to the category to which the object to be detected belongs, and inquiring target equipment corresponding to the category to which the object to be detected belongs, wherein the target equipment is equipment for downloading or installing online objects included in the online object group, and the online objects included in the online object group are the same as the category to which the object to be detected belongs;
And the second determining module is configured to count the target equipment according to the statistical index and determine target test equipment aiming at the object to be tested according to the statistical result.
12. A computing device, comprising:
a memory and a processor;
the memory is configured to store computer-executable instructions and the processor is configured to execute the computer-executable instructions to implement the method of:
under the condition that a test task aiming at an object to be tested is detected, determining whether the object to be tested is an online object or not;
under the condition that the object to be tested is an online object, connecting to an operation database of the object to be tested, and inquiring target equipment corresponding to the object to be tested, wherein the target equipment is equipment downloaded or installed with the object to be tested; determining the category to which the object to be detected belongs, connecting to an operation database corresponding to an online object group of the category to which the object to be detected belongs, and inquiring target equipment corresponding to the category to which the object to be detected belongs, wherein the target equipment is equipment for downloading or installing online objects included in the online object group, and the online objects included in the online object group are the same as the category to which the object to be detected belongs;
And counting the target equipment according to the statistical index, and determining target test equipment aiming at the object to be tested according to the statistical result.
13. A computer readable storage medium, characterized in that it stores computer instructions which, when executed by a processor, implement the steps of the test device determination method of any one of claims 1 to 10.
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