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Code-Aware Combinatorial Interaction Testing
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (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.
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2019 (English)In: IET Software, ISSN 1751-8806, E-ISSN 1751-8814Article in journal (Refereed) Epub ahead of print
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.

Place, publisher, year, edition, pages
London, England: Institution of Engineering and Technology, 2019.
Keywords [en]
Software Testing; Software Engineering; combinatorial interaction testing;
National Category
Engineering and Technology
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-73615DOI: 10.1049/iet-sen.2018.5315OAI: oai:DiVA.org:kau-73615DiVA, id: diva2:1338736
Available from: 2019-07-24 Created: 2019-07-24 Last updated: 2019-08-07Bibliographically approved

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Publisher's full texthttps://digital-library.theiet.org/content/journals/10.1049/iet-sen.2018.5315

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Ahmed, Bestoun S.

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22232425262728 28 of 28
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