The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Improving bug triage with bug tossing graphs
Abstract
bug report is typically assigned to a single developer who is then responsible for fixing the bug. In Mozilla and Eclipse, between 37%-44% of bug reports are "tossed" (reassigned) to other developers, for example because the bug has been assigned by accident or another developer with additional expertise is needed. In any case, tossing increases the time-to-correction for a bug.
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Cites
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(2018) · Optimization Models · doi:10.1017/cbo9781107279667.013 · Cited by 818
Bettenburg, N., Just, S., Schröter, A., Weiss, C., Premraj, R., & Zimmermann, T. (2008) · Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering · doi:10.1145/1453101.1453146 · Cited by 617
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An approach to detecting duplicate bug reports using natural language and execution information
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Cited by
What distinguishes great software engineers
Li, P. L., Ko, A. J., & Begel, A. (2020) · Empirical Software Engineering · doi:10.1007/s10664-019-09773-y · Cited by 48
Metadata
- Authors
- Jeong, G., Kim, S., & Zimmermann, T.
- Venue
- Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
- Publisher
- ACM
- Published
- 2009-08-24
- Pages
- 111-120
- OpenAlex
- W2090094826
- Cited by
- 455
- References
- 23
- FWCI
- 17.43
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Jeong, G., Kim, S., & Zimmermann, T. (2009). Improving bug triage with bug tossing graphs. Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering. https://doi.org/10.1145/1595696.1595715
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
