An Enhanced Patch Optimization Technique for Multi-Chunk Bugs in Automated Program Repair
Abdinabiev Aslan Safarovich, Jisung Kim, Byungjeong Lee, Journal of Information Processing Systems Vol. 20, No. 5, pp. 627-639, Oct. 2024
https://doi.org/10.3745/JIPS.04.0320
Keywords: Automated Program Repair, Machine Learning, Multi-Chunk Bugs, Patch Optimization
Fulltext:
Abstract
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
|
Cite this article
[APA Style]
Safarovich, A., Kim, J., & Lee, B. (2024). An Enhanced Patch Optimization Technique for
Multi-Chunk Bugs in Automated Program Repair. Journal of Information Processing Systems, 20(5), 627-639. DOI: 10.3745/JIPS.04.0320.
[IEEE Style]
A. A. Safarovich, J. Kim, B. Lee, "An Enhanced Patch Optimization Technique for
Multi-Chunk Bugs in Automated Program Repair," Journal of Information Processing Systems, vol. 20, no. 5, pp. 627-639, 2024. DOI: 10.3745/JIPS.04.0320.
[ACM Style]
Abdinabiev Aslan Safarovich, Jisung Kim, and Byungjeong Lee. 2024. An Enhanced Patch Optimization Technique for
Multi-Chunk Bugs in Automated Program Repair. Journal of Information Processing Systems, 20, 5, (2024), 627-639. DOI: 10.3745/JIPS.04.0320.