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Detecting object usage anomalies
Abstract
Interacting with objects often requires following a protocol—for instance, a specific sequence of method calls. These protocols are not always documented, and violations can lead to subtle problems. Our approach takes code examples to automatically infer legal sequences of method calls. The resulting patterns can then be used to detect anomalies such as “Before calling next(), one normally calls hasNext()”. To our knowledge, this is the first fully automatic defect detection approach that learns and checks method call sequences. Our JADET prototype has detected yet undiscovered defects and code smells in five popular open-source programs, including two new defects in ASPECTJ.
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Cited by
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Allamanis, M., Barr, E. T., Devanbu, P., & Sutton, C. (2019) · ACM Computing Surveys · doi:10.1145/3212695 · Cited by 150
Automatically Generating Test Cases for Specification Mining
Dallmeier, V., Knopp, N., Mallon, C., Fraser, G., Hack, S., & Zeller, A. (2012) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2011.105 · Cited by 67
Self-citationMARBLE: Mining for Boilerplate Code to Identify API Usability Problems
Nam, D., Horvath, A., Macvean, A., Myers, B., & Vasilescu, B. (2019) · 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1109/ase.2019.00063 · Cited by 19
Metadata
- Authors
- Wasylkowski, A., Zeller, A., & Lindig, C.
- Venue
- Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
- Publisher
- ACM
- Published
- 2007-09-07
- Pages
- 35-44
- OpenAlex
- W2025677988
- Cited by
- 272
- References
- 0
- FWCI
- 11.50
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Detecting object usage anomalies. https://app.cochat.ai/papers/10.1145/1287624.1287632
- The paper
- Wasylkowski, A., Zeller, A., & Lindig, C. (2007). Detecting object usage anomalies. Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering. https://doi.org/10.1145/1287624.1287632
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
