Name
Title | ||
|---|---|---|
CBUA: A Probabilistic, Predictive, and Practical Approach for Evaluating Test Suite Effectiveness |
Abstract | ||
|---|---|---|
Knowing the effectiveness of a test suite is essential for many activities such as assessing the test adequacy of code and guiding the generation of new test cases. Mutation testing is a commonly used defect injection technique for evaluating the effectiveness of a test suite. However, it is usually computationally expensive, as a large number of mutants (buggy versions) are needed to be generated... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TSE.2020.3010361 | IEEE Transactions on Software Engineering |
Keywords | DocType | Volume |
Testing,Predictive models,Production,Data models,Computational modeling,Training,Training data | Journal | 48 |
Issue | ISSN | Citations |
3 | 0098-5589 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Zhang | 1 | 68 | 17.27 |
| Yanhui Li | 2 | 0 | 0.34 |
| Wanwangying Ma | 3 | 26 | 4.28 |
| Yibiao Yang | 4 | 156 | 9.72 |
| Lin Chen | 5 | 49 | 6.78 |
| Hongmin Lu | 6 | 36 | 3.46 |
| Yuming Zhou | 7 | 559 | 24.72 |
| Xu, Baowen | 8 | 2476 | 165.27 |