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.
June 10-14, 2016
IEEE Conference on Computers, Software & Applications
, Kacker, R.
and Yu, L.
Estimating t-way Fault Profile Evolution During Testing, IEEE Conference on Computers, Software & Applications, Atlanta, GA, [online], https://doi.org/10.1109/COMPSAC.2016.110
(Accessed June 1, 2023)