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