The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The strength of random search on automated program repair
Abstract
Automated program repair recently received considerable attentions, and many techniques on this research area have been proposed. Among them, two genetic-programming-based techniques, GenProg and Par, have shown the promising results. In particular, GenProg has been used as the baseline technique to check the repair effectiveness of new techniques in much literature. Although GenProg and Par have shown their strong ability of fixing real-life bugs in nontrivial programs, to what extent GenProg and Par can benefit from genetic programming, used by them to guide the patch search process, is still unknown.
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Cites
Individual Comparisons by Ranking Methods
Wilcoxon, F. (1945) · Biometrics Bulletin · doi:10.2307/3001968 · Cited by 15,354
Cited by
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
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
Le Goues, C., Pradel, M., & Roychoudhury, A. (2019) · Communications of the ACM · doi:10.1145/3318162 · Cited by 410
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
Le, X. B. D., Lo, D., & Le Goues, C. (2016) · 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER) · doi:10.1109/saner.2016.76 · Cited by 332
Metadata
- Authors
- Qi, Y., Mao, X., Lei, Y., Dai, Z., & Wang, C.
- Venue
- Proceedings of the 36th International Conference on Software Engineering
- Publisher
- ACM
- Published
- 2014-05-31
- Pages
- 254-265
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W2063387237
- Cited by
- 303
- References
- 1
- FWCI
- 16.15
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Qi, Y., Mao, X., Lei, Y., Dai, Z., & Wang, C. (2014). The strength of random search on automated program repair. Proceedings of the 36th International Conference on Software Engineering. https://doi.org/10.1145/2568225.2568254
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