Crex: Predicting patch correctness in automated repair of C programs through transfer learning of execution semantics

Yan, Dapeng; Liu, Kui; Niu, Yuqing; Li, Li; Liu, Zhe; Liu, Zhiming; KLEIN, Jacques; BISSYANDE, Tegawendé François D Assise

doi:10.1016/j.infsof.2022.107043

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Article (Périodiques scientifiques)

Crex: Predicting patch correctness in automated repair of C programs through transfer learning of execution semantics

Yan, Dapeng; Liu, Kui; Niu, Yuqing et al.

2022 • In Information and Software Technology, 152, p. 1-12

Peer reviewed vérifié par ORBi

Permalien
https://hdl.handle.net/10993/54302

DOI
10.1016/j.infsof.2022.107043

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Détails

Disciplines :

Sciences informatiques

Auteur, co-auteur :

Yan, Dapeng; Nanjing University of Aeronautics and Astronautics

Liu, Kui; Huawei Software Engineering Application Technology Lab

Niu, Yuqing; Nanjing University of Aeronautics and Astronautics

Li, Li; Monash University

Liu, Zhe; Nanjing University of Aeronautics and Astronautics

Liu, Zhiming; Northwestern Polytechnical University

KLEIN, Jacques ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX

BISSYANDE, Tegawendé François D Assise ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX

Co-auteurs externes :

yes

Langue du document :

Anglais

Titre :

Crex: Predicting patch correctness in automated repair of C programs through transfer learning of execution semantics

Date de publication/diffusion :

décembre 2022

Titre du périodique :

Information and Software Technology

ISSN :

0950-5849

eISSN :

1873-6025

Maison d'édition :

Elsevier, Amsterdam, Pays-Bas

Volume/Tome :

152

Pagination :

1-12

Peer reviewed :

Peer reviewed vérifié par ORBi

Focus Area :

Security, Reliability and Trust

Disponible sur ORBilu :

depuis le 31 janvier 2023

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Nombre de téléchargements

227 (dont 3 Unilu)

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Bibliographie

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