CN111367820B - Sequencing method and device for test cases - Google Patents
Sequencing method and device for test cases Download PDFInfo
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- CN111367820B CN111367820B CN202010360424.4A CN202010360424A CN111367820B CN 111367820 B CN111367820 B CN 111367820B CN 202010360424 A CN202010360424 A CN 202010360424A CN 111367820 B CN111367820 B CN 111367820B
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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
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
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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
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3684—Test management for test design, e.g. generating new test cases
Abstract
The invention provides a method and a device for ordering test cases, wherein the method comprises the following steps: obtaining output parameters and input parameters of each test case; respectively counting the total times of taking the output parameters in each test case as input parameters in other test cases, and taking the total times as the output parameter reference weight of each test case; respectively counting the total times of the input parameters in each test case in other test cases as output parameters, and taking the total times as the input parameter reference weight of each test case; determining the sorting weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case; the test cases are ordered according to the ordering weight of each test case, so that the ordering problem of the test cases when the test cases relate to a plurality of input parameters and a plurality of output parameters is solved, and the accuracy of ordering the test cases is improved.
Description
Technical Field
The invention relates to the technical field of software testing, in particular to a method and a device for ordering test cases.
Background
The system test is an important link in the system development, and directly relates to whether the developed system can be delivered for use. The test cases need to be ordered before the system tests, and then the test is performed according to the order of the test cases. With the diversification of system functions, the test cases of the system are more and more, taking a banking system as an example, the test cases of various transactions are often involved in the system test, and if the test cases are manually ordered, the efficiency is extremely low and the system is easy to make mistakes.
In order to improve the test efficiency, the test cases are generally automatically ordered according to the input and output relationships between the test cases, and if the output parameters of the test cases a are the input parameters of the test cases B, the test cases a are ordered before the test cases B. However, when the test cases involve a plurality of input parameters and a plurality of output parameters, the input-output relationship between the test cases is complex, and the test cases cannot be accurately ordered only according to the input-output relationship between the test cases.
Disclosure of Invention
In view of this, the method and the device for sorting test cases provided by the invention realize accurate sorting of test cases.
In order to achieve the above purpose, the specific technical scheme provided by the invention is as follows:
a method of ordering test cases, comprising:
obtaining output parameters and input parameters of each test case;
respectively counting the total times of taking the output parameters in each test case as input parameters in other test cases, and taking the total times as the output parameter reference weight of each test case;
respectively counting the total times of the input parameters in each test case in other test cases as output parameters, and taking the total times as the input parameter reference weight of each test case;
determining the sorting weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case;
the test cases are ranked according to the ranking weight of each test case.
Optionally, the obtaining the output parameter and the input parameter of each test case includes:
analyzing each test case to obtain the identification, output parameters and input parameters of each test case;
the identification, output parameters and input parameters for each test case are stored in an array form, respectively.
Optionally, the determining the ranking weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case includes:
and respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case.
Optionally, the determining the ranking weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case includes:
respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case;
when two or more test cases with the same ordering weights exist, a recursive algorithm is adopted to calculate the ordering weights of the test cases with the same ordering weights again until the ordering weights of all the test cases are different.
Optionally, after the sorting of the test cases according to the sorting weight of each test case, the method further includes:
each test case is stored in a linked list in accordance with the ordering of each test case.
A test case sequencing device, comprising:
the parameter acquisition unit is used for acquiring output parameters and input parameters of each test case;
the first weight determining unit is used for respectively counting the total times of taking the output parameters in each test case as input parameters in other test cases and taking the total times as the output parameter reference weight of each test case;
the second weight determining unit is used for respectively counting the total times of the input parameters in each test case as output parameters in other test cases and taking the total times as the reference weight of the input parameters of each test case;
the third weight determining unit is used for determining the sorting weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case respectively;
and the case sorting unit is used for sorting the test cases according to the sorting weight of each test case.
Optionally, the parameter obtaining unit is specifically configured to:
analyzing each test case to obtain the identification, output parameters and input parameters of each test case;
the identification, output parameters and input parameters for each test case are stored in an array form, respectively.
Optionally, the third weight determining unit is specifically configured to:
and respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case.
Optionally, the third weight determining unit is specifically configured to:
respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case;
when two or more test cases with the same ordering weights exist, a recursive algorithm is adopted to calculate the ordering weights of the test cases with the same ordering weights again until the ordering weights of all the test cases are different.
Optionally, the apparatus further includes:
and the case storage unit is used for storing each test case in the linked list according to the sequence of each test case.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses a sequencing method of test cases, which is characterized in that the total times of output parameters in each test case serving as input parameters in other test cases are counted to obtain output parameter reference weights representing the output importance degree of each test case, and the total times of the input parameters in each test case serving as the output parameters in other test cases are counted to obtain input parameter reference weights representing the input importance degree of each test case.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for sorting test cases according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for obtaining output parameters and input parameters of a test case according to an embodiment of the present invention;
fig. 3 is a flow chart of another method for sorting test cases according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a method for sorting test cases according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a sorting device for test cases according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The sequencing method of the test cases disclosed by the invention is applied to an automatic test platform under a system test scene, can be particularly applied to automatically sequencing the test cases after the test cases are generated, and can also be applied to sequencing the test cases by a tester when the sequence imported to a case scheduling platform is changed, so that the accurate sequencing of the test cases can be realized, and the correct execution of the test cases is ensured.
Specifically, referring to fig. 1, a test case sorting method disclosed in the present embodiment includes the following steps:
s101: obtaining output parameters and input parameters of each test case;
after the automated test platform receives the test cases, the input parameters and the input parameters of each test case need to be acquired firstly, wherein the input parameters are parameters which need to be input into the test case when the test case is executed, and the output parameters are parameters which are output by the test case when the test case is executed.
Referring to fig. 2, the method for obtaining the output parameters and the input parameters of each test case is as follows:
s201: analyzing each test case to obtain the identification, output parameters and input parameters of each test case;
specifically, the test cases need to be parsed according to the formats of the test cases, the embodiment supports the parsing of multiple test case formats, the parsing methods of the test cases with different formats are prestored, and when the format of the test case to be parsed is determined, such as var, the parsing method corresponding to the format of the test case is called to parse the test case, so that the identifier, the output parameter and the input parameter of each test case are obtained.
S202: the identification, output parameters and input parameters for each test case are stored in an array form, respectively.
After the identifier, the output parameter and the input parameter of each test case are acquired, the identifier, the output parameter and the input parameter of each test case are respectively stored in the form of an array in order to facilitate the subsequent sorting of the test cases.
S102: respectively counting the total times of taking the output parameters in each test case as input parameters in other test cases, and taking the total times as the output parameter reference weight of each test case;
the output parameter reference weight of a test case indicates the output importance level of the test case, and the more times the output parameter of one test case is used as the input parameter of other cases, the more test cases can be executed after the test case is executed, the more the test cases need to be executed preferentially.
When the test case has only one output parameter, the total number of times that the output parameter is used as an input parameter in other test cases is the output parameter reference weight of the test case.
When the test cases have more than one output parameter, the number of other test cases taking any one output parameter of the test cases as an input parameter is counted, namely the total times of taking the output parameter of the test cases as the input parameter in the other test cases is counted, and the total times of taking the output parameter of the test cases as the input parameter in the other test cases are counted to be taken as the output parameter reference weight of each test case.
S103: respectively counting the total times of the input parameters in each test case in other test cases as output parameters, and taking the total times as the input parameter reference weight of each test case;
the input parameter reference weight of a test case indicates the input importance of the test case, and the more times the input parameter of one test case is taken as the output parameter of other cases indicates the more test cases need to be executed before the test case is executed, the more the test cases need to be executed later.
When the test case has only one input parameter, the total number of times that the input parameter is used as an output parameter in other test cases is the input parameter reference weight of the test case.
When the test cases have more than one input parameter, the number of other test cases taking any input parameter in the test cases as an output parameter is counted, namely the total times of taking the input parameter in the test cases as the output parameter in the other test cases is counted, and the total times of taking the input parameter in the test cases as the output parameter in the other test cases are counted to be taken as the input parameter reference weight of each test case.
S104: determining the sorting weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case;
because the larger the output parameter reference weight of one test case is, the more priority is needed to be executed, otherwise, the larger the input parameter reference weight is, the more subsequent execution is needed, and the sorting weight of each test case can be determined by comprehensively considering the output parameter reference weight and the input parameter reference weight of each test case.
One preferred method for determining the ranking weight is as follows: and respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case.
It should be noted that, determining the difference between the output parameter reference weight and the input parameter reference weight of the test case as the sorting weight of the corresponding test case is only one preferred scheme in this embodiment, and may further perform weighted summation on the output parameter reference weight and the input parameter reference weight of the test case to determine the sorting weight of the test case, where the weight of the output parameter reference weight is a positive number, and the weight of the input parameter reference weight is a negative number. Any scheme for determining the ranking weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case is within the protection scope of the present invention.
S105: the test cases are ranked according to the ranking weight of each test case.
The sorting of the test cases is actually to sort the identifiers of the test cases, specifically, sort the test cases according to the order of the sorting weights of the test cases from large to small, execute the test cases with large sorting weights first, and execute the test cases with small sorting weights later.
In order to facilitate the ordering of the test cases, each test case may be stored in a linked list according to the ordering of each test case, and when the system test is executed, the corresponding test cases may be sequentially extracted from the linked list according to the ordering of the test cases in the linked list for testing.
Further, in practical applications, a situation may occur in which the sorting weights of two or more test cases are the same, and in this case, in order to achieve accurate sorting of the test cases, another sorting method of test cases is disclosed in this embodiment, please refer to fig. 3, the sorting method of test cases includes the following steps:
s301: obtaining output parameters and input parameters of each test case;
s302: respectively counting the total times of each output parameter in each test case in other test cases as an input parameter, and taking the total times as the output parameter reference weight of each test case;
s303: respectively counting the total times of each input parameter in each test case in other test cases as an output parameter, and taking the total times as the input parameter reference weight of each test case;
s304: respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case;
s305: judging whether two or more test cases with the same sequencing weight exist or not;
if present, S306: adopting a recursion algorithm to calculate the sorting weights of the test cases with the same sorting weights again until the sorting weights of all the test cases are different;
if not, S307: the test cases are ranked according to the ranking weight of each test case.
Referring specifically to fig. 4, the unordered test cases are 1.1,1.2,1.3,1.4,1.5,1.6,1.7 and 1.8.
Firstly, analyzing unordered test cases to obtain output parameters and input parameters of each test case, wherein the output parameters of the test case 1.1 are a, and the input parameters are b and e; test case 1.2 has no output parameters, and the input parameters are a and c; the output parameter of the test case 1.3 is b, and no output parameter exists; test case 1.4 has no output parameters, and the input parameters are b, c, d and e; the output parameter of the test case 1.5 is c, and the input parameters are d, e and f; test case 1.6 has no output parameters nor input parameters; the output parameter of the test case 1.7 is d, and the input parameters are a and e; the output parameters of test case 1.8 are e and f, and the input parameter is b.
And respectively counting the total times of each output parameter in each test case as an input parameter in other test cases, and taking the total times as the output parameter reference weight of each test case. Taking test case 1.1 as an example, the output parameter a is used as the input parameter of test case 1.2 and test case 1.7 respectively, so that the reference weight of the output parameter of test case 1.1 is 2; the output parameter e of test case 1.8 is used as the input parameter of test case 1.1, test case 1.4, test case 1.5 and test case 1.7, respectively, the output parameter f of test case 1.8 is used as the input parameter of test case 1.5, and the output parameter reference weight of test case 1.8 is 4 because e and f are used as the input parameters of test case 1.5 at the same time.
And respectively counting the total times of each input parameter in each test case as an output parameter in other test cases, and taking the total times as the input parameter reference weight of each test case. Taking test case 1.8 as an example, the input parameter b is the output parameter of test case 1.3, so the input parameter of test case 1.8 references a weight of 1.
And respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case.
It can be found that the ranking weights of test case 1.3 and test case 1.8 are the same, both are 4; the ranking weights of test case 1.1, test case 1.6 and test case 1.7 are the same, and are all 0, and the ranking of test cases after the first round of ranking is as follows: test cases 1.3 and test cases 1.8 are arranged side by side first, (test case 1.1, test case 1.6 and test case 1.7 are arranged side by side third), test case 1.5 is arranged sixth, test case 1.2 is arranged seventh, and test case 1.4 is arranged eighth.
And respectively sequencing the test cases 1.3 and 1.8, and the test cases 1.1, 1.6 and 1.7 by using a recursive algorithm, respectively determining the output parameter reference weight and the input parameter reference weight of each test case in the test cases 1.3 and 1.8 in the second round of sequencing, and finally obtaining the sequencing weights of 1.3 and 1.8 of the test cases respectively as 1 and-1, wherein the first rank of the test cases 1.3 and the second rank of the test cases 1.8 can be determined.
In the third round of sorting, the output parameter reference weight and the input parameter reference weight of each test case are respectively determined in the test cases 1.1, 1.6 and 1.7, and finally the sorting weights of the test cases 1.1, 1.6 and 1.7 are respectively-1, 0 and-1, wherein the third round of sorting of the test cases 1.6 can be determined, the sorting weights of the test cases 1.1 and 1.7 are the same, and the fourth round of sorting is needed.
In the fourth round of sorting, the output parameter reference weight and the input parameter reference weight of each test case are respectively determined in the test cases 1.1 and the test cases 1.7, and finally the sorting weights of the test cases 1.1 and the test cases 1.7 are respectively-1 and-2, so that the test cases 1.1 are ranked fourth, the test cases 1.7 are ranked fifth, and all the test cases are ranked up.
Therefore, according to the sorting method for the test cases disclosed by the embodiment, the total times of the output parameters in each test case serving as the input parameters in other test cases are counted to obtain the output parameter reference weight representing the output importance degree of each test case, and the total times of the output parameters in other test cases serving as the output parameters in each test case are counted to obtain the input parameter reference weight representing the input importance degree of each test case.
Based on the sorting method of the test cases disclosed in the above embodiment, the present embodiment correspondingly discloses a sorting device of the test cases, please refer to fig. 5, the device includes:
a parameter obtaining unit 501, configured to obtain an output parameter and an input parameter of each test case;
a first weight determining unit 502, configured to respectively count total times of the output parameters in each test case as input parameters in other test cases, and use the total times as the reference weight of the output parameters of each test case;
a second weight determining unit 503, configured to count the total number of times of the input parameter in each test case as the output parameter in other test cases, as the reference weight of the input parameter of each test case;
a third weight determining unit 504, configured to determine a ranking weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case, respectively;
a case ranking unit 505, configured to rank the test cases according to the ranking weight of each test case.
Optionally, the parameter obtaining unit 501 is specifically configured to:
analyzing each test case to obtain the identification, output parameters and input parameters of each test case;
the identification, output parameters and input parameters for each test case are stored in an array form, respectively.
Optionally, the third weight determining unit 504 is specifically configured to:
and respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case.
Optionally, the third weight determining unit 504 is specifically configured to:
respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case;
when two or more test cases with the same ordering weights exist, a recursive algorithm is adopted to calculate the ordering weights of the test cases with the same ordering weights again until the ordering weights of all the test cases are different.
Optionally, the apparatus further includes:
and the case storage unit is used for storing each test case in the linked list according to the sequence of each test case.
According to the sequencing device for the test cases, disclosed by the embodiment, the total times of the output parameters in each test case serving as the input parameters in other test cases are counted to obtain the output parameter reference weight representing the output importance degree of each test case, and the total times of the input parameters in each test case serving as the output parameters in other test cases are counted to obtain the input parameter reference weight representing the input importance degree of each test case.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
It is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of ordering test cases, comprising:
obtaining output parameters and input parameters of each test case;
respectively counting the total times of taking the output parameters in each test case as input parameters in other test cases, and taking the total times as the output parameter reference weight of each test case;
respectively counting the total times of the input parameters in each test case in other test cases as output parameters, and taking the total times as the input parameter reference weight of each test case;
determining the sorting weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case;
the test cases are ranked according to the ranking weight of each test case.
2. The method of claim 1, wherein the obtaining the output parameters and the input parameters for each test case comprises:
analyzing each test case to obtain the identification, output parameters and input parameters of each test case;
the identification, output parameters and input parameters for each test case are stored in an array form, respectively.
3. The method of claim 1, wherein determining the ranking weight for each test case based on the output parameter reference weight and the input parameter reference weight for each test case, respectively, comprises:
and respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case.
4. The method of claim 1, wherein determining the ranking weight for each test case based on the output parameter reference weight and the input parameter reference weight for each test case, respectively, comprises:
respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case;
when two or more test cases with the same ordering weights exist, a recursive algorithm is adopted to calculate the ordering weights of the test cases with the same ordering weights again until the ordering weights of all the test cases are different.
5. The method of claim 1, wherein after the sorting of the test cases according to the sorting weight for each test case, the method further comprises:
each test case is stored in a linked list in accordance with the ordering of each test case.
6. A test case sequencing device, comprising:
the parameter acquisition unit is used for acquiring output parameters and input parameters of each test case;
the first weight determining unit is used for respectively counting the total times of taking the output parameters in each test case as input parameters in other test cases and taking the total times as the output parameter reference weight of each test case;
the second weight determining unit is used for respectively counting the total times of the input parameters in each test case as output parameters in other test cases and taking the total times as the reference weight of the input parameters of each test case;
the third weight determining unit is used for determining the sorting weight of each test case according to the output parameter reference weight and the input parameter reference weight of each test case respectively;
and the case sorting unit is used for sorting the test cases according to the sorting weight of each test case.
7. The apparatus according to claim 6, wherein the parameter obtaining unit is specifically configured to:
analyzing each test case to obtain the identification, output parameters and input parameters of each test case;
the identification, output parameters and input parameters for each test case are stored in an array form, respectively.
8. The apparatus according to claim 6, wherein the third weight determining unit is specifically configured to:
and respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case.
9. The apparatus according to claim 6, wherein the third weight determining unit is specifically configured to:
respectively determining the difference value of the output parameter reference weight and the input parameter reference weight of each test case as the sorting weight of the corresponding test case;
when two or more test cases with the same ordering weights exist, a recursive algorithm is adopted to calculate the ordering weights of the test cases with the same ordering weights again until the ordering weights of all the test cases are different.
10. The apparatus of claim 6, wherein the apparatus further comprises:
and the case storage unit is used for storing each test case in the linked list according to the sequence of each test case.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103064788A (en) * | 2012-12-24 | 2013-04-24 | 清华大学 | Web service modeling and test method based on interface semantic contract model |
CN103810094A (en) * | 2012-11-14 | 2014-05-21 | 中国农业银行股份有限公司 | Executing method and device for test case and test tool |
CN104536896A (en) * | 2015-01-12 | 2015-04-22 | 牟永敏 | Regression test case selecting and ranking method and system oriented to function call path |
CN110737587A (en) * | 2019-09-06 | 2020-01-31 | 平安科技(深圳)有限公司 | testing method, device, storage medium and server based on testing cases |
CN110750446A (en) * | 2019-09-18 | 2020-02-04 | 平安科技(深圳)有限公司 | System testing method and related device |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10229040B2 (en) * | 2016-06-22 | 2019-03-12 | International Business Machines Corporation | Optimizing execution order of system interval dependent test cases |
-
2020
- 2020-04-30 CN CN202010360424.4A patent/CN111367820B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103810094A (en) * | 2012-11-14 | 2014-05-21 | 中国农业银行股份有限公司 | Executing method and device for test case and test tool |
CN103064788A (en) * | 2012-12-24 | 2013-04-24 | 清华大学 | Web service modeling and test method based on interface semantic contract model |
CN104536896A (en) * | 2015-01-12 | 2015-04-22 | 牟永敏 | Regression test case selecting and ranking method and system oriented to function call path |
CN110737587A (en) * | 2019-09-06 | 2020-01-31 | 平安科技(深圳)有限公司 | testing method, device, storage medium and server based on testing cases |
CN110750446A (en) * | 2019-09-18 | 2020-02-04 | 平安科技(深圳)有限公司 | System testing method and related device |
Non-Patent Citations (2)
Title |
---|
潘丽丽 ; 王天锷 ; 秦姣华 ; 向旭宇 ; .基于定值-引用链的测试用例优先级排序算法.计算机科学.2017,(04),全文. * |
饶建农 ; 汤杰 ; 刘桂梅 ; .基于模糊模型的GUI软件测试用例优先排序方法.广东技术师范学院学报.2015,(第02期),全文. * |
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