On the Effectiveness of Combinatorial Interaction Testing: A Case Study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315774" target="_blank" >RIV/68407700:21230/17:00315774 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/8004296/keywords" target="_blank" >http://ieeexplore.ieee.org/document/8004296/keywords</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/QRS-C.2017.20" target="_blank" >10.1109/QRS-C.2017.20</a>
Alternative languages
Result language
angličtina
Original language name
On the Effectiveness of Combinatorial Interaction Testing: A Case Study
Original language description
Combinatorial interaction testing (CIT) stands as one of the efficient testing techniques that have been used in different applications recently. The technique is useful when there is a need to take the interaction of input parameters into consideration for testing a system. The key insight the technique is that not every single parameter may contribute to the failure of the system and there could be interactions among these parameters. Hence, there must be combinations of these input parameters based on the interaction strength. This technique has been used in many applications to assess its effectiveness. In this paper, we are addressing the effectiveness of CIT for a real-world case study using model-based mutation testing experiments. The contribution of the paper is threefold: First we introduce an effective testing application for CIT; Second, we address the effectiveness of increasing the interaction strength beyond the pairwise (i.e., interaction of more than two parameters); Third, model-based mutation testing is used to mutate the input model of the program in contrast to the traditional code-based mutation testing process. Experimental results showed that CIT is an effective testing technique for this kind of application. In addition, the results also showed the usefulness of model-based mutation testing to assess CIT applications. For the subject of this case study, the results also indicate that 3-way test suite (i.e., interaction of three parameters) could detect new faults that can not be detected by pairwise.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 2017 IEEE International Conference on Software Quality, Reliability and Security Companion
ISBN
978-1-5386-2072-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
69-76
Publisher name
IEEE Reliability Society
Place of publication
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Event location
Praha
Event date
Jul 25, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426819400010