Prioritizing test cases for regression techniques using metaheuristic techniques

Regression testing attempts to find new errors after some alterations have been done in the software. Previously run test cases are re-executed to check whether historical faults have re-emerged or to validate the functionality of the software. In the past, several methods have been analyzed for red...

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Bibliographic Details
Published inJournal of information & optimization sciences Vol. 39; no. 1; pp. 39 - 51
Main Authors Mittal, Shweta, Sangwan, Om Prakash
Format Journal Article
LanguageEnglish
Published Taylor & Francis 02.01.2018
Subjects
ABC algorithm
Cuscuta search
Metaheuristic techniques
Regression Testing
Test Suite Prioritization
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Summary:Regression testing attempts to find new errors after some alterations have been done in the software. Previously run test cases are re-executed to check whether historical faults have re-emerged or to validate the functionality of the software. In the past, several methods have been analyzed for reducing the cost of regression testing, which includes regression test selection, regression test minimization and regression test prioritization. Test Suite Prioritization techniques orders the test cases so that all the test cases are executed on a priority basis. Artificial bee colony (ABC) algorithm is a very powerful and efficient algorithm influenced by the intelligent nature of bees. In this paper, we have applied the ABC algorithm for test suite prioritization and the comparison has been made with Genetic Algorithm and Cuscuta Search. From our experimental results, we can infer that results of Cuscuta Search are low as compared to ABC and GA for small test suites.
ISSN:0252-2667
2169-0103
DOI:10.1080/02522667.2017.1372150