Reference : The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Ac...
Scientific journals : Article
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/54368
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches
English
Tian, Haoye mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX]
Liu, Kui mailto [Huawei]
Li, Yinghua mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX]
Kabore, Abdoul Kader mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX]
Koyuncu, Anil mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX >]
Habib, Andrew mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX]
Li, Li mailto [Monash University]
Wen, Junhao mailto [Chongqing University]
Klein, Jacques mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX]
Bissyande, Tegawendé François D Assise mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX >]
2022
ACM Transactions on Software Engineering and Methodology
Association for Computing Machinery (ACM)
Yes
United States
[en] Program repair ; Patch overfitting ; Patch correctness
http://hdl.handle.net/10993/54368
H2020 ; 949014 - NATURAL - Natural Program Repair

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