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Detection of Duplicate Defect Reports Using Natural Language Processing
Abstract
Defect reports are generated from various testing and development activities in software engineering. Sometimes two reports are submitted that describe the same problem, leading to duplicate reports. These reports are mostly written in structured natural language, and as such, it is hard to compare two reports for similarity with formal methods. In order to identify duplicates, we investigate using natural language processing (NLP) techniques to support the identification. A prototype tool is developed and evaluated in a case study analyzing defect reports at Sony Ericsson mobile communications. The evaluation shows that about 2/3 of the duplicates can possibly be found using the NLP techniques. Different variants of the techniques provide only minor result differences, indicating a robust technology. User testing shows that the overall attitude towards the technique is positive and that it has a growth potential.
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Cited by
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Jeong, G., Kim, S., & Zimmermann, T. (2009) · Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering · doi:10.1145/1595696.1595715 · Cited by 455
Towards more accurate retrieval of duplicate bug reports
Sun, C., Lo, D., Khoo, S.-C., & Jiang, J. (2011) · 2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011) · doi:10.1109/ase.2011.6100061 · Cited by 334
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Herzig, K., Just, S., & Zeller, A. (2013) · 2013 35th International Conference on Software Engineering (ICSE) · doi:10.1109/icse.2013.6606585 · Cited by 294
Multilingual Plagiarism Detection
Ceska, Z., Toman, M., & Jezek, K. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-85776-1_8 · Cited by 72
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Metadata
- Authors
- Runeson, P., Alexandersson, M., & Nyholm, O.
- Venue
- 29th International Conference on Software Engineering (ICSE'07)
- Publisher
- IEEE
- Published
- 2007-05
- Pages
- 499-510
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W2165022036
- Cited by
- 523
- References
- 0
- FWCI
- 12.60
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Runeson, P., Alexandersson, M., & Nyholm, O. (2007). Detection of Duplicate Defect Reports Using Natural Language Processing. 29th International Conference on Software Engineering (ICSE'07). https://doi.org/10.1109/icse.2007.32
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