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On the Effectiveness of Combinatorial Interaction Testing: A Case Study

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    On the Effectiveness of Combinatorial Interaction Testing: A Case Study

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    On the Effectiveness of Combinatorial Interaction Testing: A Case Study

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2017

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Proceedings of 2017 IEEE International Conference on Software Quality, Reliability and Security Companion

  • ISBN

    978-1-5386-2072-4

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    8

  • Strana od-do

    69-76

  • Název nakladatele

    IEEE Reliability Society

  • Místo vydání

  • Místo konání akce

    Praha

  • Datum konání akce

    25. 7. 2017

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000426819400010