Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866916661516304384 |
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| author | Hossain, Soneya Binta Taylor, Raygan Dwyer, Matthew |
| author_facet | Hossain, Soneya Binta Taylor, Raygan Dwyer, Matthew |
| contents | Code documentation is a critical aspect of software development, serving as a bridge between human understanding and machine-readable code. Beyond assisting developers in understanding and maintaining code, documentation also plays a critical role in automating various software engineering tasks, such as test oracle generation (TOG). In Java, Javadoc comments provide structured, natural language documentation embedded directly in the source code, typically detailing functionality, usage, parameters, return values, and exceptions. While prior research has utilized Javadoc comments in test oracle generation (TOG), there has not been a thorough investigation into their impact when combined with other contextual information, nor into identifying the most relevant components for generating correct and strong test oracles, or understanding their role in detecting real bugs. In this study, we dive deep into investigating the impact of Javadoc comments on TOG. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_09360 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation Hossain, Soneya Binta Taylor, Raygan Dwyer, Matthew Software Engineering Code documentation is a critical aspect of software development, serving as a bridge between human understanding and machine-readable code. Beyond assisting developers in understanding and maintaining code, documentation also plays a critical role in automating various software engineering tasks, such as test oracle generation (TOG). In Java, Javadoc comments provide structured, natural language documentation embedded directly in the source code, typically detailing functionality, usage, parameters, return values, and exceptions. While prior research has utilized Javadoc comments in test oracle generation (TOG), there has not been a thorough investigation into their impact when combined with other contextual information, nor into identifying the most relevant components for generating correct and strong test oracles, or understanding their role in detecting real bugs. In this study, we dive deep into investigating the impact of Javadoc comments on TOG. |
| title | Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2412.09360 |