@inproceedings{d30e18f5c3924fdfa7fb0b8e014218c3,
title = "Large-Scale Patch Recommendation at Alibaba",
abstract = "We present Precfix, a pragmatic approach targeting large-scale industrial codebase and making recommendations based on previously observed debugging activities. Precfix collects defect-patch pairs from development histories, performs clustering, and extracts generic reusable patching patterns as recommendations. Our approach is able to make recommendations within milliseconds and achieves a false positive rate of 22\%. Precfix has been rolled out to Alibaba to support various critical businesses.",
keywords = "Defect detection, patch generation, patch recommendation",
author = "Xindong Zhang and Chenguang Zhu and Yi Li and Jianmei Guo and Lihua Liu and Haobo Gu",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 42nd ACM/IEEE International Conference on Software Engineering: Companion, ICSE-Companion 2020 ; Conference date: 27-06-2020 Through 19-07-2020",
year = "2020",
month = oct,
doi = "10.1145/3377812.3390902",
language = "英语",
series = "Proceedings - 2020 ACM/IEEE 42nd International Conference on Software Engineering: Companion, ICSE-Companion 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "252--253",
booktitle = "Proceedings - 2020 ACM/IEEE 42nd International Conference on Software Engineering",
address = "美国",
}