LEVEL OF SIGNIFICANCE DIFFERENCE OF REGRESSION TEST CASE PRIORITIZATION APPROACHES

Authors

  • Samaila Musa Department of Computer Science, Federal University Gusau, Zamfara, Nigeria. Author
  • Esther Samuel Alu Department of Computer Science, Nasarawa State University, Keffi Author
  • Yunana Kefas Department of Computer Science, Nasarawa State University, Keffi Author

Keywords:

Test Case, APFD, Genetic Algorithm, Test case Prioritization

Abstract

There has been very little evaluations of the GA-based regression test prioritization, even though there are several evaluation methods conducted by so many studies on GA-based regression test prioritization of object-oriented program (OOP), but there
little or no approaches that use the level of the significance difference by performing statistical tests to show the significant of the differences between the approaches. The paper conduct a comprehensive empirical study of ten object-oriented programs by the use of Average Percentage of rate of Fault Detection (APFD) to compare HoceDanMafara and one existing software regression tests prioritization together with non-prioritize and random strategies for regression testing of OOP in term of fault detection. The evidence of the statistical test of APFD values of the proposed strategy is shown in the results of the experiment. The study indicated that HoceDanMafara produces significance differences compare with randPrior t, nonPrior and pSherry. 

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Published

2021-12-01

How to Cite

LEVEL OF SIGNIFICANCE DIFFERENCE OF REGRESSION TEST CASE PRIORITIZATION APPROACHES. (2021). The Transactions of the Nigerian Association of Mathematical Physics, 17, 95 – 98. https://nampjournals.org.ng/index.php/tnamp/article/view/210

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