Automated Test Generation from Program Documentation Encoded in Code Comments
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866910922617913344 |
|---|---|
| author | Denaro, Giovanni Guglielmo, Luca |
| author_facet | Denaro, Giovanni Guglielmo, Luca |
| contents | Documenting the functionality of software units with code comments, e.g., Javadoc comments, is a common programmer best-practice in software engineering. This paper introduces a novel test generation technique that exploits the code-comment documentation constructively. We originally address those behaviors as test objectives, which we pursue in search-based fashion. We deliver test cases with names and oracles properly contextualized on the target behaviors. Our experiments against a benchmark of 118 Java classes indicate that the proposed approach successfully tests many software behaviors that may remain untested with coverage-driven test generation approaches, and distinctively detects unknown failures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_21161 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Automated Test Generation from Program Documentation Encoded in Code Comments Denaro, Giovanni Guglielmo, Luca Software Engineering D.2.5 Documenting the functionality of software units with code comments, e.g., Javadoc comments, is a common programmer best-practice in software engineering. This paper introduces a novel test generation technique that exploits the code-comment documentation constructively. We originally address those behaviors as test objectives, which we pursue in search-based fashion. We deliver test cases with names and oracles properly contextualized on the target behaviors. Our experiments against a benchmark of 118 Java classes indicate that the proposed approach successfully tests many software behaviors that may remain untested with coverage-driven test generation approaches, and distinctively detects unknown failures. |
| title | Automated Test Generation from Program Documentation Encoded in Code Comments |
| topic | Software Engineering D.2.5 |
| url | https://arxiv.org/abs/2504.21161 |