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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, DOAJ, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2014 Vol.4(6): 504-509 ISSN: 2010-3697
DOI: 10.7763/IJMO.2014.V4.425

Towards Regression Testing Constraints

Bouchaib Falah and Souhail Marghabi
Abstract—Regression testing is one of the most crucial and expensive testing process used to validate modified software and detect new faults introduced by into previously modified and tested code. To reduce the cost of regression testing, software testers may choose to prioritize their test cases to run the “important” ones, chosen by some metrics and constraints, earlier in the testing process. Various approaches have been introduced by previous researches in the form of prioritization technique focusing on specific goals of regression testing. One goal of prioritization is to increase a test suite’s rate of fault detection. In this context, previous studies have shown that several prioritization techniques can significantly improve rate of fault detection, but these studies have also shown that the effectiveness of these techniques is relative to the assumptions made by the researchers concerning the testing environment. The variations observed in these experiments have mostly been linked to the subject program, test suites characteristics. This makes it difficult for testers to appropriately choose the correct prioritization technique for their testing scenarios. In this paper, regression prioritization techniques are described. Their performance, in fault detection rate, is assessed and the metrics used to assess the effect of variation through discussing experiments done in this context are specified. Then, the results are analyzed and insight about prioritization techniques selection under these constraints is provided.

Index Terms—Test case, prioritization, regression, Software testing, empirical studies.

[PDF]

Cite: Bouchaib Falah and Souhail Marghabi, "Towards Regression Testing Constraints," International Journal of Modeling and Optimization vol. 4, no. 6, pp. 504-509, 2014.

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