Name
Abstract | ||
|---|---|---|
Many projects often receive more bug reports than what they can handle. To help debug and close bug reports, a number of bug localization techniques have been proposed. These techniques analyze a bug report and return a ranked list of potentially buggy source code files. Recent development on bug localization has resulted in the construction of effective supervised approaches that use historical d... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TSE.2019.2920771 | IEEE Transactions on Software Engineering |
Keywords | DocType | Volume |
Computer bugs,Feature extraction,Task analysis,Encoding,Computer languages,Semantics,Data models | Journal | 47 |
Issue | ISSN | Citations |
7 | 0098-5589 | 3 |
PageRank | References | Authors |
0.38 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuan Huo | 1 | 26 | 3.41 |
| Ferdian Thung | 2 | 641 | 33.28 |
| Ming Li | 3 | 1047 | 45.83 |
| David Lo | 4 | 5346 | 259.67 |
| Shu-ting Shi | 5 | 3 | 1.73 |