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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Bibliographic Details
Published in:Nashrīyah-i mudīrīyat-i fannāvarī-i iṭṭilāʻāt 2021-01, Vol.13 (1), p.22-41
Main Authors: Abhishek Singh Verma, Ankur Choudhary, Shailesh Tiwari
Format: Article
Language:eng ; per
Subjects:
aeo
maeo
regression testing
test suite minimization
Online Access:Get full text
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Summary: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