The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
ASTOR: a program repair library for Java (demo)
Open accessAbstract
During the last years, the software engineering research community has proposed approaches for automatically repairing software bugs. Unfortunately, many software artifacts born from this research are not available for repairing Java programs. To-reimplement those approaches from scratch is costly. To facilitate experimental replications and comparative evaluations, we present Astor, a publicly available program repair library that includes the implementation of three notable repair approaches (jGenProg, jKali and jMutRepair). We envision that the research community will use Astor for setting up comparative evaluations and explore the design space of automatic repair for Java. Astor offers researchers ways to implement new repair approaches or to modify existing ones. Astor repairs in total 33 real bugs from four large open source projects.
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Cites
Defects4J: a database of existing faults to enable controlled testing studies for Java programs
Just, R., Jalali, D., & Ernst, M. D. (2014) · Proceedings of the 2014 International Symposium on Software Testing and Analysis · doi:10.1145/2610384.2628055 · Cited by 1,447
An analysis of patch plausibility and correctness for generate-and-validate patch generation systems
Qi, Z., Long, F., Achour, S., & Rinard, M. (2015) · Proceedings of the 2015 International Symposium on Software Testing and Analysis · doi:10.1145/2771783.2771791 · Cited by 420
Cited by
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
DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization
Li, X., Li, W., Zhang, Y., & Zhang, L. (2019) · Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis · doi:10.1145/3293882.3330574 · Cited by 336
Context-aware patch generation for better automated program repair
Wen, M., Chen, J., Wu, R., Hao, D., & Cheung, S.-C. (2018) · Proceedings of the 40th International Conference on Software Engineering · doi:10.1145/3180155.3180233 · Cited by 328
QuixBugs: a multi-lingual program repair benchmark set based on the quixey challenge
Lin, D., Koppel, J., Chen, A., & Solar-Lezama, A. (2017) · Proceedings Companion of the 2017 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity · doi:10.1145/3135932.3135941 · Cited by 242
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
- Martinez, M., & Monperrus, M.
- Venue
- Proceedings of the 25th International Symposium on Software Testing and Analysis
- Publisher
- ACM
- Published
- 2016-07-18
- Pages
- 441-444
- OpenAlex
- W2465133314
- Cited by
- 235
- References
- 2
- FWCI
- 16.84
- Type
- conference paper
- Language
- en
- Open access
- green
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