[Poster] A t-way covering array can detect t-way faults, however they generally include other combinations beyond t-way as well. For example, a particular test set of all 5-way combinations is shown capable of detecting all seeded faults in a test program, despite the fact that it contains up to 9-way faults. This poster gives an overview of methods for estimating fault detection effectiveness of a test set based on combinatorial coverage for a class of software. Detection effectiveness depends on the distribution of t-way faults, which is not known. However based on past experience one could say for example the fraction of 1-way faults is F(sub)1 = 60%, 2-way faults F(sub)2 = 25% F(sub)3 = 10% and F(sub)4 = 5%. Such information could be used in determining the required strength t. It is shown that the fault detection effectiveness of a test set may be affected significantly by the t-way fault distribution, overall, simple coverage at each level of t, number of values per variable, and minimum t-way coverage. Using these results, we develop practical guidance for testers.
Proceedings of the Seventh IEEE International Conference on Software, Testing, Verification and Validation (ICST 2014)
March 31-April 4, 2014
Third International Workshop on Combinatorial Testing
, Kacker, R.
and Lei, Y.
Estimating Fault Detection Effectiveness, Proceedings of the Seventh IEEE International Conference on Software, Testing, Verification and Validation (ICST 2014), Cleveland, OH, [online], https://doi.org/10.1109/ICSTW.2014.69
(Accessed December 6, 2023)