Artikel mit Open-Access-Mandaten - Michele TufanoWeitere Informationen
Verfügbar: 18
Deep learning code fragments for code clone detection
M White, M Tufano, C Vendome, D Poshyvanyk
Proceedings of the 31st IEEE/ACM international conference on automated …, 2016
Mandate: US National Science Foundation
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
Z Chen, S Kommrusch, M Tufano, LN Pouchet, D Poshyvanyk, ...
IEEE Transactions on Software Engineering 47 (9), 1943-1959, 2019
Mandate: US National Science Foundation
An empirical study on learning bug-fixing patches in the wild via neural machine translation
M Tufano, C Watson, G Bavota, MD Penta, M White, D Poshyvanyk
ACM Transactions on Software Engineering and Methodology (TOSEM) 28 (4), 1-29, 2019
Mandate: US National Science Foundation, Schweizerischer Nationalfonds zur Förderung …
When and why your code starts to smell bad (and whether the smells go away)
M Tufano, F Palomba, G Bavota, R Oliveto, M Di Penta, A De Lucia, ...
IEEE Transactions on Software Engineering 43 (11), 1063-1088, 2017
Mandate: US National Science Foundation
On learning meaningful code changes via neural machine translation
M Tufano, J Pantiuchina, C Watson, G Bavota, D Poshyvanyk
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
Mandate: US National Science Foundation, Schweizerischer Nationalfonds zur Förderung …
Sorting and transforming program repair ingredients via deep learning code similarities
M White, M Tufano, M Martinez, M Monperrus, D Poshyvanyk
2019 IEEE 26th international conference on software analysis, evolution and …, 2019
Mandate: US National Science Foundation, US Department of Defense, Knut and Alice …
Deep learning similarities from different representations of source code
M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk
Proceedings of the 15th international conference on mining software …, 2018
Mandate: US National Science Foundation, Schweizerischer Nationalfonds zur Förderung …
An empirical investigation into learning bug-fixing patches in the wild via neural machine translation
M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk
Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018
Mandate: US National Science Foundation
On learning meaningful assert statements for unit test cases
C Watson, M Tufano, K Moran, G Bavota, D Poshyvanyk
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
Mandate: US National Science Foundation, Schweizerischer Nationalfonds zur Förderung …
Towards automating code review activities
R Tufano, L Pascarella, M Tufano, D Poshyvanyk, G Bavota
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
Mandate: US National Science Foundation, European Commission
Enabling mutation testing for android apps
M Linares-Vásquez, G Bavota, M Tufano, K Moran, M Di Penta, ...
Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017
Mandate: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Learning how to mutate source code from bug-fixes
M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk
2019 IEEE International conference on software maintenance and evolution …, 2019
Mandate: US National Science Foundation, Schweizerischer Nationalfonds zur Förderung …
MDroid+ a mutation testing framework for android
K Moran, M Tufano, C Bernal-Cárdenas, M Linares-Vásquez, G Bavota, ...
Proceedings of the 40th International Conference on Software Engineering …, 2018
Mandate: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Guigle: A gui search engine for android apps
C Bernal-Cárdenas, K Moran, M Tufano, Z Liu, L Nan, Z Shi, ...
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
Mandate: US National Science Foundation
Towards just-in-time refactoring recommenders
J Pantiuchina, G Bavota, M Tufano, D Poshyvanyk
Proceedings of the 26th Conference on Program Comprehension, 312-315, 2018
Mandate: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Deepmutation: A neural mutation tool
M Tufano, J Kimko, S Wang, C Watson, G Bavota, M Di Penta, ...
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
Mandate: US National Science Foundation, Schweizerischer Nationalfonds zur Förderung …
Enabling mutant generation for open-and closed-source Android apps
C Escobar-Velásquez, M Linares-Vásquez, G Bavota, M Tufano, K Moran, ...
IEEE Transactions on Software Engineering 48 (1), 186-208, 2020
Mandate: US National Science Foundation, Schweizerischer Nationalfonds zur Förderung …
An empirical investigation into the use of image captioning for automated software documentation
K Moran, A Yachnes, G Purnell, J Mahmud, M Tufano, CB Cardenas, ...
2022 IEEE International Conference on Software Analysis, Evolution and …, 2022
Mandate: US National Science Foundation
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