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Estimating t-way Fault Profile Evolution During Testing



David R. Kuhn, Raghu N. Kacker, Lei Yu


Empirical studies have shown that most software interaction faults involve one or two variables interacting, with progressively fewer triggered by three or more, and no failure has been reported involving more than six variables interacting. This paper introduces a hypothesis for the origin of this distribution, with implications for removal of interaction faults and reliability growth.
Conference Dates
June 10-14, 2016
Conference Location
Atlanta, GA
Conference Title
IEEE Conference on Computers, Software & Applications


combinatorial testing, software fault, testing


Kuhn, D. , Kacker, R. and Yu, L. (2016), Estimating t-way Fault Profile Evolution During Testing, IEEE Conference on Computers, Software & Applications, Atlanta, GA, [online], (Accessed July 18, 2024)


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Created August 25, 2016, Updated November 10, 2018