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Code-Aware Combinatorial Interaction Testing
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). Czech Technical University, Prague, Czech Republic.ORCID-id: 0000-0001-9051-7609
University of Bergamo, Italy.
University Malaysia Pahang, Pahang, Malaysia.
Sabanci University, Istanbul, Turkey.
Vise andre og tillknytning
2019 (engelsk)Inngår i: IET Software, ISSN 1751-8806, E-ISSN 1751-8814, Vol. 13, nr 6, s. 600-609Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Combinatorial interaction testing (CIT) is a useful testing technique to address the interaction of input parameters in software systems. In many applications, the technique has been used as a systematic sampling technique to sample the enormous possibilities of test cases. In the last decade, most of the research activities focused on the generation of CIT test suites as it is a computationally complex problem. Although promising, less effort has been paid for the application of CIT. In general, to apply the CIT, practitioners must identify the input parameters for the Software-under-test (SUT), feed these parameters to the CIT tool to generate the test suite, and then run those tests on the application with some pass and fail criteria for verification. Using this approach, CIT is used as a black-box testing technique without knowing the effect of the internal code. Although useful, practically, not all the parameters having the same impact on the SUT. This paper introduces a different approach to use the CIT as a gray-box testing technique by considering the internal code structure of the SUT to know the impact of each input parameter and thus use this impact in the test generation stage. We applied our approach to five reliable case studies. The results showed that this approach would help to detect new faults as compared to the equal impact parameter approach.

sted, utgiver, år, opplag, sider
London, England: Institution of Engineering and Technology, 2019. Vol. 13, nr 6, s. 600-609
Emneord [en]
Software Testing; Software Engineering; combinatorial interaction testing;
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-73615DOI: 10.1049/iet-sen.2018.5315ISI: 000499993300011OAI: oai:DiVA.org:kau-73615DiVA, id: diva2:1338736
Tilgjengelig fra: 2019-07-24 Laget: 2019-07-24 Sist oppdatert: 2020-03-31bibliografisk kontrollert

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Ahmed, Bestoun S.

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