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pro vyhledávání: '"Abdoul Kader Kaboré"'
Autor:
Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé
Publikováno v:
info:eu-repo/grantAgreement/EC/H2020/949014
A large body of the literature on automated program repair develops approaches where patches are automatically generated to be validated against an oracle (e.g., a test suite). Because such an oracle can be imperfect, the generated patches, although
Autor:
Patrick Keller, Abdoul Kader Kaboré, Laura Plein, Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé
Publikováno v:
ACM Transactions on Software Engineering and Methodology. 31:1-34
Recent successes in training word embeddings for Natural Language Processing ( NLP ) tasks have encouraged a wave of research on representation learning for source code, which builds on similar NLP methods. The overall objective is then to produce co
Autor:
Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
Publikováno v:
info:eu-repo/grantAgreement/EC/H2020/949014
ACM Transactions on Software Engineering and Methodology
ACM Transactions on Software Engineering and Methodology
How do we know a generated patch is correct? This is a key challenging question that automated program repair (APR) systems struggle to address given the incompleteness of available test suites. Our intuition is that we can triage correct patches by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00b531ff0297216b60fb5295e3195abf
http://orbilu.uni.lu/handle/10993/52239
http://orbilu.uni.lu/handle/10993/52239