The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Context-aware patch generation for better automated program repair
Open accessAbstract
The effectiveness of search-based automated program repair is limited in the number of correct patches that can be successfully generated. There are two causes of such limitation. First, the search space does not contain the correct patch. Second, the search space is huge and therefore the correct patch cannot be generated (i.e., correct patches are either generated after incorrect plausible ones or not generated within the time budget).
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Cites
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A Survey on Software Fault Localization
Wong, W. E., Gao, R., Li, Y., Abreu, R., & Wotawa, F. (2016) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2016.2521368 · Cited by 1,110
Automatically finding patches using genetic programming
Weimer, W., Nguyen, T., Le Goues, C., & Forrest, S. (2009) · 2009 IEEE 31st International Conference on Software Engineering · doi:10.1109/icse.2009.5070536 · Cited by 761
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Angelix: scalable multiline program patch synthesis via symbolic analysis
Mechtaev, S., Yi, J., & Roychoudhury, A. (2016) · Proceedings of the 38th International Conference on Software Engineering · doi:10.1145/2884781.2884807 · Cited by 515
Automatic patch generation by learning correct code
Long, F., & Rinard, M. (2016) · Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages · doi:10.1145/2837614.2837617 · Cited by 481
Automatic patch generation learned from human-written patches
Kim, D., Nam, J., Song, J., & Kim, S. (2013) · Cited by 438
Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs
Xuan, J., Martinez, M., DeMarco, F., Clement, M., Marcote, S. L., Durieux, T., Le Berre, D., & Monperrus, M. (2017) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2016.2560811 · Cited by 430
An analysis of patch plausibility and correctness for generate-and-validate patch generation systems
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Cited by
Software Testing With Large Language Models: Survey, Landscape, and Vision
Wang, J., Huang, Y., Chen, C., Liu, Z., Wang, S., & Wang, Q. (2024) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2024.3368208 · Cited by 573
Automated Program Repair in the Era of Large Pre-trained Language Models
Xia, C. S., Wei, Y., & Zhang, L. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) · doi:10.1109/icse48619.2023.00129 · Cited by 433
SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair
Chen, Z., Kommrusch, S. J., Tufano, M., Pouchet, L.-N., Poshyvanyk, D., & Monperrus, M. (2021) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2019.2940179 · Cited by 396
Shaping program repair space with existing patches and similar code
Jiang, J., Xiong, Y., Zhang, H., Gao, Q., & Chen, X. (2018) · Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis · doi:10.1145/3213846.3213871 · Cited by 329
Automated Repair of Programs from Large Language Models
Fan, Z., Gao, X., Mirchev, M., Roychoudhury, A., & Tan, S. H. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) · doi:10.1109/icse48619.2023.00128 · Cited by 256
Metadata
- Authors
- Wen, M., Chen, J., Wu, R., Hao, D., & Cheung, S.-C.
- Venue
- Proceedings of the 40th International Conference on Software Engineering
- Publisher
- ACM
- Published
- 2018-05-27
- Pages
- 1-11
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W2795030435
- Cited by
- 328
- References
- 54
- FWCI
- 23.42
- Type
- conference paper
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Context-aware patch generation for better automated program repair. https://app.cochat.ai/papers/10.1145/3180155.3180233
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- Wen, M., Chen, J., Wu, R., Hao, D., & Cheung, S.-C. (2018). Context-aware patch generation for better automated program repair. Proceedings of the 40th International Conference on Software Engineering. https://doi.org/10.1145/3180155.3180233
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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.
