A novel real coded GA for regression testing

Mishra, Deepti Bala; Rath, Dharashree; Parida, Swarnalipsa

doi:10.47974/JSMS-955

Open Access Research Article

A novel real coded GA for regression testing

^*Deepti Bala MishraCorresponding authordbm2980@gmail.comBhubaneswar 752054, OdishaGandhi Institute of Technological Advancement Autonomous CollegeIndiaView full profile → , Dharashree Rathdharashree96@gmail.comBhubaneswar 752054, OdishaGandhi Institute of Technological Advancement Autonomous CollegeIndiaView full profile → , Swarnalipsa Paridapswarnalipsa@gmail.comBhubaneswar 752054, OdishaGandhi Institute of Technological Advancement Autonomous CollegeIndiaView full profile →

* Corresponding author · click or hover a name for details

pp. 159–167Vol. 26Issue 1December 2022DOI: 10.47974/JSMS-955XML

Published Online:: 31 Dec 2022
Article type:: Research Article
Language:: EN
Article no.:: JSMS-955
Pages:: 159–167

Abstract

Regression testing is an activity performed in maintenance level of software. Growing of software test suite results in high cost and which also damages the software system. Test case prioritization is used to prioritize the most appropriate test cases. This research paper presents a test case prioritization and minimization technique by taking various factors involved such as risk exposure, requirement factor, statement coverage data and execution time. There are different factors of test cases such as statement coverage data, requirements factors, risk exposure and execution time. Genetic algorithm is used to prioritize test cases and further, test cases are minimized based on some given time constraint. The effectiveness of the prioritized test cases is measured by APSC metric.

Keywords

Regression testing Test case prioritization Risk exposure Genetic algorithm Requirement factor Statement coverage

Subject Classifications

68T07

References

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