Abstract | ||
---|---|---|
Test adequacy criteria are widely used to guide test creation. However, many of these criteria are sensitive to statement structure or the choice of test oracle. This is because such criteria ensure that execution reaches the element of interest, but impose no constraints on the execution path after this point. We are not guaranteed to observe a failure just because a fault is triggered. To address this issue, we have proposed the concept of observability-an extension to coverage criteria based on Boolean expressions that combines the obligations of a host criterion with an additional path condition that increases the likelihood that a fault encountered will propagate to a monitored variable. Our study, conducted over five industrial systems and an additional forty open-source systems, has revealed that adding observability tends to improve efficacy over satisfaction of the traditional criteria, with average improvements of 125.98 percent in mutation detection with the common output-only test oracle and per-model improvements of up to 1760.52 percent. Ultimately, there is merit to our hypothesis-observability reduces sensitivity to the choice of oracle and to the program structure. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/TSE.2018.2869146 | IEEE Transactions on Software Engineering |
Keywords | DocType | Volume |
Software testing,automated test generation,test adequacy criteria,model-based test generation | Journal | 46 |
Issue | ISSN | Citations |
7 | 0098-5589 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ying Meng | 1 | 0 | 0.34 |
Gregory Gay | 2 | 299 | 15.27 |
Michael W. Whalen | 3 | 1096 | 70.54 |