Granted Patent B2

US 12,505,030 · App. 18/237,979 · Granted Dec 23, 2025

Inventors: Bernie Hu (Chengdu, CN); Shuang Zheng (Chengdu, CN); Ellie Jiang (Chengdu, CN)

Assignee: Dell Products L.P.

G06F11/3692

Abstract

Claims (52)

1 . A method comprising:

selecting, by a test selection system, a regression test case from a plurality of regression test cases in a software testing lifecycle system;

calculating a score for the regression test case using an Analytic Hierarchy Process (AHP) assigned weight, wherein the AHP assigned weight is determined based on multiple valued factors including feature coverage, code coverage, test point coverage, and defect ticket;

using the score, automatically generating, by the test selection system, a visual representation displaying quantified relationships between the regression test case and specific regression testing coverage objectives for the software system;

selecting, by the test selection system, the regression test case for use in the regression testing effort based on the visualized relationship that demonstrates optimal resource allocation for achieving the regression testing coverage objectives;

automatically executing the regression test case on a system to detect software defects, wherein the method is implemented by at least one processing device comprising a processor coupled to a memory; and

visualizing the relationship to determine an optimal number of regression test cases to execute on the system by displaying a graphical representation showing how incremental addition of regression test cases affects achievement of regression testing coverage goals until reaching an inflection point where the marginal benefit of adding more regression test cases begins to diminish significantly.

2 . The method of claim 1 wherein calculating the score for the regression test case comprises:

identifying a plurality of valued factors associated with the regression test case.

3 . The method of claim 1 wherein calculating the score for the regression test case comprises:

normalizing a plurality of valued factors associated with the regression test case.

4 . The method of claim 3 wherein normalizing the plurality of valued factors comprises:

normalizing the plurality of valued factors using a min-max normalization.

5 . The method of claim 1 wherein calculating the score for the regression test case comprises:

determining a respective weight associated with each of a plurality of valued factors associated with the regression test case using AHP.

6 . The method of claim 1 wherein calculating the score for the regression test case comprises:

maximizing a subset of valued factors associated with the regression test case.

7 . The method of claim 6 wherein the subset of value factors comprises feature coverage, code coverage, test point coverage, and defect ticket.

8 . The method of claim 1 wherein calculating the score for the regression test case comprises:

minimizing a subset of valued factors associated with the regression test case.

9 . The method of claim 8 wherein the subset of value factors comprises feature overlap, test point overlap execution time and case creation time.

10 . The method of claim 1 wherein calculating the score for the regression test case comprises:

calculating a respective score for each regression test case in a plurality of regression test cases.

11 . The method of claim 1 wherein using the score, visualizing, by the test selection system, the relationship between the regression test case and goals associated with a regression testing effort comprises:

visualizing the relationship using an elbow method that plots regression test case coverage against the number of selected regression test cases to identify an optimal inflection point for regression testing efficiency.

12 . The method of claim 1 wherein using the score, visualizing, by the test selection system, the relationship between the regression test case and goals associated with a regression testing effort comprises:

sorting a plurality of scores associated with a plurality of regression test cases.

13 . The method of claim 12 further comprising:

visualizing a subset of the plurality of regression test cases associated with highest scores in the plurality of sorted scores.

14 . The method of claim 1 wherein selecting, by the test selection system, the regression test case for use in the regression testing effort based on the visualized relationship comprises:

selecting an optimal number of regression test cases to execute on the system.

15 . The method of claim 14 further comprising:

selecting the optimal number of regression test cases from a subset of a plurality of regression test cases, wherein the subset of regression test cases has highest scores among the plurality of regression test cases.

16 . The method of claim 1 executing the regression test case on the system comprises:

executing a subset of a plurality of regression test cases, wherein the subset of regression test cases has highest scores among the plurality of regression test cases.

17 . The method of claim 1 executing the regression test case on the system comprises:

verifying the selection of the regression test case for use in the regression testing effort based on a change in defect tickets.

18 . A system comprising:

at least one processing device comprising a processor coupled to a memory; the at least one processing device being configured:

to select, by a test selection system, a regression test case from a plurality of regression test cases in a software testing lifecycle system;

to calculate a score for the regression test case using an Analytic Hierarchy Process (AHP) assigned weight, wherein the AHP assigned weight is determined based on multiple valued factors including feature coverage, code coverage, test point coverage, and defect ticket;

using the score, to automatically generate, by the test selection system, a visual representation displaying quantified relationships between the regression test case and specific regression testing coverage objectives for the software system;

to select, by the test selection system, the regression test case for use in the regression testing effort based on the visualized relationship that demonstrates optimal resource allocation for achieving the regression testing coverage objectives;

to automatically execute the regression test case on a system to detect software defects; and

visualizing the relationship to determine an optimal number of regression test cases to execute on the system by displaying a graphical representation showing how incremental addition of regression test cases affects achievement of regression testing coverage goals until reaching an inflection point where the marginal benefit of adding more regression test cases begins to diminish significantly.

19 . A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes said at least one processing device:

to select, by a test selection system, a regression test case from a plurality of regression test cases in a software testing lifecycle system;

to calculate a score for the regression test case using an Analytic Hierarchy Process (AHP) assigned weight, wherein the AHP assigned weight is determined based on multiple valued factors including feature coverage, code coverage, test point coverage, and defect ticket;

using the score, to automatically generate, by the test selection system, a visual representation displaying quantified relationships between the regression test case and specific regression testing coverage objectives for the software system;

to select, by the test selection system, the regression test case for use in the regression testing effort based on the visualized relationship that demonstrates optimal resource allocation for achieving the regression testing coverage objectives;

to automatically execute the regression test case on a system to detect software defects; and

visualizing the relationship to determine an optimal number of regression test cases to execute on the system by displaying a graphical representation showing how incremental addition of regression test cases affects achievement of regression testing coverage goals until reaching an inflection point where the marginal benefit of adding more regression test cases begins to diminish significantly.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (14)