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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kuhn, R. Kacker, R. Yu Lei |
| Copyright Year | 2014 |
| Abstract | 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 $F_{1}$ = 60 %, 2- way faults $F_{2}$ = 25 % $F_{3}$ = 10 % and $F_{4}$ = 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. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 154 |
| Ending Page | 154 |
| File Size | 182879 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781479957903 |
| DOI | 10.1109/ICSTW.2014.69 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-03-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software testing Fault detection Conferences Computational modeling Software Approximation methods Arrays |
| Content Type | Text |
| Resource Type | Article |
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