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Test case minimization approach using fault detection and combinatorial optimization techniques for configuration-aware structural testing
USI SUPSI, Ist Dalle Molle Studi Intelligenza Artificiale ID, Lugano, Switzerland.;Salahaddin Univ Hawler, Software Engn Dept, Erbil, Iraq. IRQ.ORCID-id: 0000-0001-9051-7609
2016 (engelsk)Inngår i: Engineering Science and Technology, an International Journal, E-ISSN 2215-0986, Vol. 19, nr 2, s. 737-753Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper presents a technique to minimize the number of test cases in configuration-aware structural testing. Combinatorial optimization is used first to generate an optimized test suite by sampling the input configuration. Second, for further optimization, the generated test suite is filtered based on an adaptive mechanism by using a mutation testing technique. The initialized test suite is optimized using cuckoo search (CS) along with combinatorial approach, and mutation testing is used to seed different faults to the software-under-test, as well as to filter the test cases based on the detected faults. To measure the effectiveness of the technique, an empirical study is conducted on a software system. The technique proves its effectiveness through the conducted case study. The paper also shows the application of combinatorial optimization and CS to the software testing. (C) 2016, Karabuk University. Publishing services by Elsevier B.V.

sted, utgiver, år, opplag, sider
Elsevier, 2016. Vol. 19, nr 2, s. 737-753
Emneord [en]
Combinatorial testing, Test case design, Fault seeding, Software mutation testing, Software structural testing, Cuckoo search algorithm
HSV kategori
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Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-86844DOI: 10.1016/j.jestch.2015.11.006ISI: 000410692800008OAI: oai:DiVA.org:kau-86844DiVA, id: diva2:1608362
Tilgjengelig fra: 2021-11-03 Laget: 2021-11-03 Sist oppdatert: 2024-12-03bibliografisk kontrollert

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