CN111209190B - Central randomness-based control cable software testing method and device - Google Patents
Central randomness-based control cable software testing method and device Download PDFInfo
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- 238000013507 mapping Methods 0.000 claims abstract description 31
- 238000012216 screening Methods 0.000 claims abstract description 22
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- G06F11/36—Preventing errors by testing or debugging software
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Abstract
The invention discloses a central random-based control cable software testing method and device, comprising the following steps: screening original defect data to obtain a defect data set, randomly numbering each defect in the defect data set by using a static random algorithm, mapping the random number with the number of a test executive personnel, and dispatching a test task according to the mapping relation; and collecting test results of the test tasks and corresponding newly discovered defects, and designing test cases and test data according to the test results and the defects to solve the problems that an existing software test method is not in place in a test coverage path and is incomplete in test data organization.
Description
Technical Field
The application relates to the field of software testing, in particular to a central random-based control cable property software testing method and a central random-based control cable property software testing device.
Background
The definition of the exploratory test that is the most straightforward is: while designing the test and performing the test. Exploratory testing is sometimes confused with impulse testing (ad hoc testing). Impulse testing generally refers to a temporarily prepared, impulse Bug search test procedure. From the definition, it can be seen who can do impulse tests. The exploratory test by Cem Kaner is an elegant, ideological process compared to the impulse test. In the present software testing process, in particular, exploratory testing in agile development mode is increasingly used as an important means for system testing, so as to find more potential defects of the tested system by utilizing personal capability and experience of testers.
On the other hand, defects of software typically have a clustering effect, i.e., the more defects a certain functional module has found during the testing of the software, the greater the likelihood of finding more defects it has not found. Meanwhile, if a defect tested by a certain module is considered to have higher value after analysis, the probability that the module has other defects with higher value is higher. However, the solidification of the test coverage path and the test data organization is easily caused by the thinking inertia of the person, namely, the tested branches are repeatedly tested, and no branch is detected.
Disclosure of Invention
The application provides a central random-based control cable software testing method and device, which solve the problems that the existing software testing method is not in place in test coverage paths and is incomplete in test data organization.
The application provides a central random-based control cable software testing method, which comprises the following steps:
acquiring original defect data, screening the original defect data, and acquiring a defect data set;
partitioning the defect data set, and randomly numbering each defect in the defect data set by using a static random algorithm;
mapping the random number with the number of the test executive personnel, and dispatching the test task according to the mapping relation;
and collecting the test result of the test task and the corresponding newly discovered defects, and designing test cases and test data according to the test result and the defects.
Preferably, the screening the original defect data to obtain a defect data set includes:
the defect grade is classified into three grades of general, serious and deadly;
screening the original defect data according to the defect grade to obtain serious and deadly grade defects;
serious and deadly level defects are taken as defect data sets.
Preferably, the partitioning of the defect dataset comprises:
obtaining the blocking number of the defect data set according to the number of test executives;
the number of test executives corresponds to the number of defective dataset partitions.
Preferably, each defect in the defect dataset is randomly numbered using a static random algorithm, comprising:
and according to the serial numbers of the test executives, randomly numbering each defect in the defect data set by using a static random algorithm.
Preferably, mapping the random number with the test executor number includes:
mapping the random number of each defect with the corresponding test executive number;
and obtaining the defects corresponding to the testers.
Preferably, the distributing the test task according to the mapping relation includes:
acquiring defects corresponding to the testers according to the mapping relation;
acquiring a functional module corresponding to the defect according to the defect;
and distributing the test task of the functional module to the tester.
Preferably, collecting the test result of the test task and the corresponding newly found defect, and designing test cases and test data according to the test result and the defect, including:
collecting test results of the test tasks, wherein the test results comprise test passing and test failing;
if the test does not pass, collecting the corresponding newly found defects;
and designing test cases and test data according to the newly discovered defects.
The application provides a accuse sex software testing arrangement based on central randomness simultaneously, includes:
a defect data set acquisition unit for acquiring original defect data, screening the original defect data and acquiring a defect data set;
a random numbering unit for partitioning the defect data set and randomly numbering each defect in the defect data set by using a static random algorithm;
the task distributing unit is used for mapping the random number with the number of the test executive personnel and distributing the test task according to the mapping relation;
and the test result collecting unit is used for collecting test results of the test tasks and corresponding newly discovered defects, and designing test cases and test data according to the test results and the defects.
Preferably, the defect data set acquiring unit includes:
dividing sub-units for dividing the defect level into three levels of general, serious and deadly;
a screening subunit, for screening the original defect data according to the defect grade to obtain serious and deadly grade defects;
the defect data set acquisition subunit takes serious and deadly level defects as defect data sets.
Preferably, the test result collecting unit includes:
a test result collection subunit, configured to collect test results of the test task, where the test results include a pass test and a fail test;
a defect collection subunit, configured to collect the corresponding newly discovered defect if the test fails;
and the design subunit designs the test cases and the test data according to the newly discovered defects.
The application provides a central random-based control cable property software testing method and device, which are used for screening original defect data to obtain a defect data set, carrying out random numbering on each defect in the defect data set by using a static random algorithm, mapping the random numbering and the number of a test executive personnel, and distributing a test task according to the mapping relation; and collecting test results of the test tasks and corresponding newly discovered defects, and designing test cases and test data according to the test results and the defects to solve the problems that an existing software test method is not in place in a test coverage path and is incomplete in test data organization.
Drawings
FIG. 1 is a schematic flow chart of a central random control-request software test method provided by the application;
FIG. 2 is a block diagram of a central random based control-compliance software testing method provided herein;
FIG. 3 is a schematic diagram of the execution steps of a central random-based control-cable software testing method according to the present application;
fig. 4 is a schematic diagram of a central random-based control-cable software testing device provided in the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is, however, susceptible of embodiment in many other ways than those herein described and similar generalizations can be made by those skilled in the art without departing from the spirit of the application and the application is therefore not limited to the specific embodiments disclosed below.
Fig. 1 is a schematic flow chart of a central random control software testing method provided in the present application, and the method provided in the present application is described in detail below with reference to fig. 1.
Step S101, original defect data are obtained, and screening is carried out on the original defect data to obtain a defect data set.
The central random (central random) refers to a scientific research design method which is realized by adopting a central control dynamic block random method with a computer system in order to realize a blind method and eliminate deviation influence of artificial or other unknown factors on research results in scientific research. The central random system is usually combined with management of each link in scientific research, and the central random method is adopted, so that the scientific research level and efficiency can be remarkably improved. Therefore, the central randomness is suitable for the software testing field, the software testing work generally comprises links such as tester distribution, work distribution, test result analysis and the like, but if the fixed personnel are always adopted to test corresponding to the fixed functional modules, the problems of incomplete test coverage paths and incomplete test data organization are easily caused. Therefore, the central random control cable software testing method is adopted in the aspects of personnel distribution, work distribution and the like, so that the defects of the existing method are overcome.
Firstly, the defect grade is divided into three grades of general, serious and deadly; screening the original defect data according to the defect grade to obtain serious and deadly grade defects; serious and deadly level defects are taken as defect data sets. Original defect data is acquired. Wherein the screening process may also be performed according to other aspects, as typically indicated.
Step S102, the defect data set is segmented, and each defect in the defect data set is randomly numbered by using a static random algorithm.
The meaning of the partitioning is that the number of the partitioning of the defect data set is obtained according to the number of test executives, and the number of the test executives corresponds to the number of the partitioning of the defect data set. Defect number/number of people = block number.
Then, each defect in the defect dataset is randomly numbered using a static random algorithm according to the test executor number. For example, if the test executor numbers range from 1 to M, then the defect numbers range from 1 to M, ready for the next mapping.
And step S103, mapping the random number and the number of the test executive personnel, and distributing the test task according to the mapping relation.
Mapping the random number of each defect with the corresponding test executive personnel number, and acquiring the defect corresponding to the test personnel according to the number. Through mapping, the defects corresponding to each tester are at any time, and the functional modules corresponding to the defects are fixed, so that the aim of randomly distributing test tasks to the testers is fulfilled. Specifically, according to the defects, obtaining functional modules corresponding to the defects; and distributing the test task of the functional module to the test executive personnel. To avoid the problem that the test coverage path is out of place easily caused by the thinking inertia of people.
Step S104, collecting the test result of the test task and the corresponding newly found defects, and designing test cases and test data according to the test result and the defects.
After the test task is randomly distributed to the test executive, the test executive starts the test, and after the test executive completes the test task, the test result of the test task is collected, wherein the test result comprises that the test passes and the test fails; if the test does not pass, collecting the corresponding newly found defects; and designing test cases and test data according to the newly discovered defects. To perfect the test coverage path and test data.
The block diagram of the central random-based control cable software testing method provided by the application is shown in fig. 2, and the method comprises the following steps: the system comprises a data preparation module, a data random module, a test task distribution module and a test result feedback module, wherein the data preparation module acquires a defect data set by screening original defect data; the data random module is used for randomly assigning numbers to each defect and establishing a mapping relation between test executives and the defects; the test task distribution module distributes test tasks according to the mapping relation between test executives and defects; and the test result feedback module is used for designing test cases and test data according to the test results. The specific implementation steps are as shown in fig. 3, firstly, an original data set is obtained, a defect data set is segmented, and each defect is randomly numbered; and then the serial numbers of the test executives and the serial execution sequence of the defect numbers of the test executives are arbitrary. The method is not affected, in fig. 3, whether random block data does not exist is further determined, if not, a mapping relation between test executives and defects is established, and if yes, random numbers are continuously generated for the defects in the blocks; the task dispatch and collection of test results are followed by the design of test cases and test data based on the test results
The present application also provides a central randomness-based control-cable software testing device 400, as shown in fig. 4, comprising:
a defect data set obtaining unit 410, for obtaining original defect data, screening the original defect data, and obtaining a defect data set;
a random numbering unit 420 that blocks the defect data set and randomly numbers each defect in the defect data set using a static random algorithm;
the task dispatch unit 430 maps the random number with the number of the test executor, and dispatches the test task according to the mapping relation;
and a test result collection unit 440 for collecting test results of the test task and corresponding newly discovered defects, and designing test cases and test data according to the test results and defects.
Preferably, the defect data set acquiring unit includes:
dividing sub-units for dividing the defect level into three levels of general, serious and deadly;
a screening subunit, for screening the original defect data according to the defect grade to obtain serious and deadly grade defects;
the defect data set acquisition subunit takes serious and deadly level defects as defect data sets.
Preferably, the test result collecting unit includes:
a test result collection subunit, configured to collect test results of the test task, where the test results include a pass test and a fail test;
a defect collection subunit, configured to collect the corresponding newly discovered defect if the test fails;
and the design subunit designs the test cases and the test data according to the newly discovered defects.
The application provides a central random-based control cable property software testing method and device, which are used for screening original defect data to obtain a defect data set, carrying out random numbering on each defect in the defect data set by using a static random algorithm, mapping the random numbering and the number of a test executive personnel, and distributing a test task according to the mapping relation; and collecting test results of the test tasks and corresponding newly discovered defects, and designing test cases and test data according to the test results and the defects to solve the problems that an existing software test method is not in place in a test coverage path and is incomplete in test data organization.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the specific embodiments of the present invention without departing from the spirit and scope of the present invention, and all modifications and equivalents are intended to be included in the scope of the claims of the present invention.
Claims (10)
1. A central random based control cable software testing method, comprising:
acquiring original defect data, screening the original defect data, and acquiring a defect data set;
partitioning the defect data set, and randomly numbering each defect in the defect data set by using a static random algorithm;
mapping the random number with the number of the test executive personnel, and dispatching the test task according to the mapping relation;
and collecting the test result of the test task and the corresponding newly discovered defects, and designing test cases and test data according to the test result and the defects.
2. The method of claim 1, wherein screening the raw defect data to obtain a defect dataset comprises:
the defect grade is classified into three grades of general, serious and deadly;
screening the original defect data according to the defect grade to obtain serious and deadly grade defects;
serious and deadly level defects are taken as defect data sets.
3. The method of claim 1, wherein blocking the defect dataset comprises:
obtaining the blocking number of the defect data set according to the number of test executives;
the number of test executives corresponds to the number of defective dataset partitions.
4. The method of claim 1, wherein randomly numbering each defect in the defect dataset using a static random algorithm comprises:
and according to the serial numbers of the test executives, randomly numbering each defect in the defect data set by using a static random algorithm.
5. The method of claim 1 or 4, wherein mapping the random number with a test executive number comprises:
mapping the random number of each defect with the corresponding test executive number;
and obtaining the defects corresponding to the testers.
6. The method according to claim 1 or 4, wherein performing test task dispatch according to the mapping relationship comprises:
acquiring defects corresponding to the testers according to the mapping relation;
acquiring a functional module corresponding to the defect according to the defect;
and distributing the test task of the functional module to the tester.
7. The method according to claim 1 or 4, wherein collecting test results of the test task and corresponding newly discovered defects, designing test cases and test data according to the test results and defects, comprises:
collecting test results of the test tasks, wherein the test results comprise test passing and test failing;
if the test does not pass, collecting the corresponding newly found defects;
and designing test cases and test data according to the newly discovered defects.
8. A central stochastic based control cable software test device, comprising:
a defect data set acquisition unit for acquiring original defect data, screening the original defect data and acquiring a defect data set;
a random numbering unit for partitioning the defect data set and randomly numbering each defect in the defect data set by using a static random algorithm;
the task distributing unit is used for mapping the random number with the number of the test executive personnel and distributing the test task according to the mapping relation;
and the test result collecting unit is used for collecting test results of the test tasks and corresponding newly discovered defects, and designing test cases and test data according to the test results and the defects.
9. The apparatus according to claim 8, wherein the defect data set acquiring unit includes:
dividing sub-units for dividing the defect level into three levels of general, serious and deadly;
a screening subunit, for screening the original defect data according to the defect grade to obtain serious and deadly grade defects;
the defect data set acquisition subunit takes serious and deadly level defects as defect data sets.
10. The apparatus of claim 8, wherein the test result collection unit comprises:
a test result collection subunit, configured to collect test results of the test task, where the test results include a pass test and a fail test;
a defect collection subunit, configured to collect the corresponding newly discovered defect if the test fails;
and the design subunit designs the test cases and the test data according to the newly discovered defects.
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