LEVEL OF SIGNIFICANCE DIFFERENCE OF REGRESSION TEST CASE PRIORITIZATION APPROACHES
Keywords:
Test Case, APFD, Genetic Algorithm, Test case PrioritizationAbstract
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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References
Rothermel, G., Roland, H.U., Chu, C., & Harrold, M.J. (2001). Prioritizing test cases for regression testing. IEEE Transactions on
Software Engineering, 27(10), 929-948
Purohit, G.N., & Sherry, A.M. (2014). Test suites prioritization for regression testing using genetic algorithm. International Journal
of Emerging Technologies in Computational and Applied Sciences. 14(150). 255-259.
You, L., & Lu, Y. (2012, May). A genetic algorithm for the time-aware regression testing reduction problem. In Natural
Computation (ICNC), 2012 Eighth International Conference on (pp. 596-599). IEEE.
Musa, S., Sultan, A. B. M., Abd-Ghani, A. A. B., & Baharom, S. (2014). A Regression Test Case Selection and Prioritization for
Object-Oriented Programs using Dependency Graph and Genetic Algorithm, Research Inventy: International Journal of
Engineering And Science, 4(7), 54-64.
Musa, S., Sultan, A. B. M., Abd-Ghani, A. A. B., & Baharom, S. (19-20, 2018). Empirical Evaluation of Average Percentage of rate
of Fault Detection of Software GA-based Regression Test Case Prioritization Strategy. Proceeding of International Conference on
“Engineering & Technology, Computer, Basic & Applied Sciences”- ECBA-2018. Flora Creek Deluxe, Dubai, UAE.
Shanmugam, R., & Uma G.V. (2012). Factors Oriented test case prioritization Strategy in Regression testing using Genetic
Algorithm. European Journal of Scientific Research, 74(3), 389-402.
Panigrahi, C. R., & Mall, R. (2014). A heuristic-based regression test case prioritization strategy for object-oriented
programs. Innovations in Systems and Software Engineering, 10(3), 155-163.
Öztuna, D., Elhan, A. H., & Tüccar, E. (2006). Investigation of four different normality tests in terms of type 1 error rate and power
under different distributions. Turkish Journal of Medical Sciences, 36(3), 171-176.
Lewsey, J. (2006). Medical statistics: a guide to data analysis and critical appraisal. Annals of The Royal College of Surgeons of
England, 88(6), 603.
Thode, H. C. (2002). Testing for normality (Vol. 164). CRC pre
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