Mining Bug Repositories for Multi-Fault Programs
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929308158656512 |
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| author | Callaghan, Dylan Fischer, Bernd |
| author_facet | Callaghan, Dylan Fischer, Bernd |
| contents | Datasets such as Defects4J and BugsInPy that contain bugs from real-world software projects are necessary for a realistic evaluation of automated debugging tools. However these datasets largely identify only a single bug in each entry, while real-world software projects (including those used in Defects4J and BugsInPy) typically contain multiple bugs at the same time. We lift this limitation and describe an extension to these datasets in which multiple bugs are identified in individual entries. We use test case transplantation and fault location translation, in order to expose and locate the bugs, respectively. We thus provide datasets of true multi-fault versions within real-world software projects, which maintain the properties and usability of the original datasets. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_19171 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mining Bug Repositories for Multi-Fault Programs Callaghan, Dylan Fischer, Bernd Software Engineering D.2.5 Datasets such as Defects4J and BugsInPy that contain bugs from real-world software projects are necessary for a realistic evaluation of automated debugging tools. However these datasets largely identify only a single bug in each entry, while real-world software projects (including those used in Defects4J and BugsInPy) typically contain multiple bugs at the same time. We lift this limitation and describe an extension to these datasets in which multiple bugs are identified in individual entries. We use test case transplantation and fault location translation, in order to expose and locate the bugs, respectively. We thus provide datasets of true multi-fault versions within real-world software projects, which maintain the properties and usability of the original datasets. |
| title | Mining Bug Repositories for Multi-Fault Programs |
| topic | Software Engineering D.2.5 |
| url | https://arxiv.org/abs/2403.19171 |