Name
Title | ||
|---|---|---|
Formal Definition and Automatic Generation of Semantic Metrics: An Empirical Study on Bug Prediction |
Abstract | ||
|---|---|---|
Bug prediction is helpful for facilitating bug fixes and improving the efficiency in software development and maintenance. In the past decades, researchers have proposed numerous studies on bug prediction by using code metrics. However, most of the existing studies use syntax-based metrics, there exists little work building bug prediction models with semantic metrics from source code. In this pape... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SCAM52516.2021.00020 | 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) |
Keywords | DocType | ISSN |
Semantic Code Metrics,Semantic Dependency,Bug Prediction | Conference | 1942-5430 |
ISBN | Citations | PageRank |
978-1-6654-4897-0 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ting Hu | 1 | 0 | 0.34 |
| Ran Mo | 2 | 0 | 0.34 |
| Pu Xiong | 3 | 0 | 0.34 |
| Zengyang Li | 4 | 3 | 2.45 |
| Qiong Feng | 5 | 0 | 1.01 |