Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm

Now a day's software is the baseline for the success of any organization. There is a huge demand of quality software in the customer-oriented market. Regression testing makes it possible but it’s a costly affair. Regression test suite minimization is way to reduce this cost but it is NP hard pr...

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Vydáno v:	Nashrīyah-i mudīrīyat-i fannāvarī-i iṭṭilāʻāt Ročník 13; číslo 1; s. 22 - 41
Hlavní autoři:	Abhishek Singh Verma, Ankur Choudhary, Shailesh Tiwari
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	University of Tehran 01.01.2021
Témata:	aeo maeo regression testing test suite minimization
ISSN:	2008-5893, 2423-5059
On-line přístup:	Získat plný text
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Popis
Shrnutí:	Now a day's software is the baseline for the success of any organization. There is a huge demand of quality software in the customer-oriented market. Regression testing makes it possible but it’s a costly affair. Regression test suite minimization is way to reduce this cost but it is NP hard problem. This paper proposes an effective approach for regression test suite minimization using Artificial Ecosystem Optimization algorithm. To improve its performance a modified Artificial Ecosystem Optimization algorithm is proposed for Test case minimization. To evaluate the performance of proposed approach experiment is conducted in controlled parameter setting on open-source subject program from SIR repository. The results are collected and analyzed in comparison to existing approaches using statistical test. The test results reflect the superiority of proposed approach.
ISSN:	2008-5893 2423-5059
DOI:	10.22059/jitm.2021.80023