The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
It's not a bug, it's a feature: How misclassification impacts bug prediction
Abstract
In a manual examination of more than 7,000 issue reports from the bug databases of five open-source projects, we found 33.8% of all bug reports to be misclassified - that is, rather than referring to a code fix, they resulted in a new feature, an update to documentation, or an internal refactoring. This misclassification introduces bias in bug prediction models, confusing bugs and features: On average, 39% of files marked as defective actually never had a bug. We discuss the impact of this misclassification on earlier studies and recommend manual data validation for future studies.
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Anvik, J., Hiew, L., & Murphy, G. C. (2006) · Proceedings of the 28th international conference on Software engineering · doi:10.1145/1134285.1134336 · Cited by 924
Predicting Defects for Eclipse
Zimmermann, T., Premraj, R., & Zeller, A. (2007) · Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007) · doi:10.1109/promise.2007.10 · Cited by 753
Self-citationClassifying Software Changes: Clean or Buggy?
Kim, S., Whitehead, & Zhang, Y. (2008) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2007.70773 · Cited by 672
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Self-citationPredicting defects using network analysis on dependency graphs
Zimmermann, T., & Nagappan, N. (2008) · Proceedings of the 13th international conference on Software engineering - ICSE '08 · doi:10.1145/1368088.1368161 · Cited by 580
An approach to detecting duplicate bug reports using natural language and execution information
Wang, X., Zhang, L., Xie, T., Anvik, J., & Sun, J. (2008) · Proceedings of the 13th international conference on Software engineering - ICSE '08 · doi:10.1145/1368088.1368151 · Cited by 539
Populating a Release History Database from version control and bug tracking systems
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Detection of Duplicate Defect Reports Using Natural Language Processing
Runeson, P., Alexandersson, M., & Nyholm, O. (2007) · 29th International Conference on Software Engineering (ICSE'07) · doi:10.1109/icse.2007.32 · Cited by 523
Predicting Faults from Cached History
Kim, S., Zimmermann, T., Whitehead Jr., E. J., & Zeller, A. (2007) · 29th International Conference on Software Engineering (ICSE'07) · doi:10.1109/icse.2007.66 · Cited by 486
Self-citationReLink: recovering links between bugs and changes
Wu, R., Zhang, H., Kim, S., & Cheung, S.-C. (2011) · Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering · doi:10.1145/2025113.2025120 · Cited by 412
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An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
Tufano, M., Watson, C., Bavota, G., Penta, M. D., White, M., & Poshyvanyk, D. (2019) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3340544 · Cited by 370
Progress on approaches to software defect prediction
Li, Z., Jing, X.-Y., & Zhu, X. (2018) · IET Software · doi:10.1049/iet-sen.2017.0148 · Cited by 264
Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study
Uchoa, A., Barbosa, C., Coutinho, D., Oizumi, W., Assuncao, W. K. G., Vergilio, S. R., Pereira, J. A., Oliveira, A., & Garcia, A. (2021) · 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) · doi:10.1109/msr52588.2021.00059 · Cited by 42
Design Rule Spaces: A New Model for Representing and Analyzing Software Architecture
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Metadata
- Authors
- Herzig, K., Just, S., & Zeller, A.
- Venue
- 2013 35th International Conference on Software Engineering (ICSE)
- Publisher
- IEEE
- Published
- 2013-05
- Pages
- 392-401
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W2408181256
- Cited by
- 294
- References
- 32
- FWCI
- 15.07
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Herzig, K., Just, S., & Zeller, A. (2013). It's not a bug, it's a feature: How misclassification impacts bug prediction. 2013 35th International Conference on Software Engineering (ICSE). https://doi.org/10.1109/icse.2013.6606585
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