Name
Abstract | ||
|---|---|---|
Mutation analysis is a powerful dynamic approach that has many applications, such as measuring the quality of test suites or automatically locating faults. However, the inherent low scalability hampers its practical use. To accelerate mutation analysis, researchers propose approaches to reduce redundant executions. A family of fork-based approaches tries to share identical executions among mutants... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ASE51524.2021.9678827 | 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) |
Keywords | DocType | ISBN |
Runtime,Costs,Scalability,Redundancy,Software,Engines | Conference | 978-1-6654-0337-5 |
Citations | PageRank | References |
0 | 0.34 | 53 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Wang | 1 | 224 | 53.43 |
| Sirui Lu | 2 | 0 | 0.34 |
| Yingfei Xiong | 3 | 1053 | 55.12 |
| Feng Liu | 4 | 0 | 1.01 |