Articles with public access mandates - Massimiliano Di PentaLearn more
Not available anywhere: 1
Machine learning-based detection of open source license exceptions
C Vendome, M Linares-Vásquez, G Bavota, M Di Penta, D German, ...
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017
Mandates: US National Science Foundation
Available somewhere: 56
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
Mandates: US National Science Foundation, Swiss National Science Foundation
Mining stackoverflow to turn the ide into a self-confident programming prompter
L Ponzanelli, G Bavota, M Di Penta, R Oliveto, M Lanza
Proceedings of the 11th working conference on mining software repositories …, 2014
Mandates: Swiss National Science Foundation
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
Mandates: US National Science Foundation
Sentiment analysis for software engineering: How far can we go?
B Lin, F Zampetti, G Bavota, M Di Penta, M Lanza, R Oliveto
Proceedings of the 40th international conference on software engineering, 94-104, 2018
Mandates: Swiss National Science Foundation
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
Mandates: US National Science Foundation, Swiss National Science Foundation, US …
Detecting missing information in bug descriptions
O Chaparro, J Lu, F Zampetti, L Moreno, M Di Penta, A Marcus, G Bavota, ...
Proceedings of the 2017 11th joint meeting on foundations of software …, 2017
Mandates: US National Science Foundation, Swiss National Science Foundation
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
Mandates: US National Science Foundation
Focus: A recommender system for mining api function calls and usage patterns
PT Nguyen, J Di Rocco, D Di Ruscio, L Ochoa, T Degueule, M Di Penta
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
Mandates: European Commission
ARENA: an approach for the automated generation of release notes
L Moreno, G Bavota, M Di Penta, R Oliveto, A Marcus, G Canfora
IEEE Transactions on Software Engineering 43 (2), 106-127, 2016
Mandates: US National Science Foundation
Crowdsourcing user reviews to support the evolution of mobile apps
F Palomba, M Linares-Vásquez, G Bavota, R Oliveto, M Di Penta, ...
Journal of Systems and Software 137, 143-162, 2018
Mandates: US National Science Foundation
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
Mandates: Swiss National Science Foundation
Too long; didn't watch! extracting relevant fragments from software development video tutorials
L Ponzanelli, G Bavota, A Mocci, M Di Penta, R Oliveto, M Hasan, ...
Proceedings of the 38th international conference on software engineering …, 2016
Mandates: US National Science Foundation, Swiss National Science Foundation
How is video game development different from software development in open source?
L Pascarella, F Palomba, M Di Penta, A Bacchelli
Proceedings of the 15th International Conference on Mining Software …, 2018
Mandates: Swiss National Science Foundation
Listening to the crowd for the release planning of mobile apps
S Scalabrino, G Bavota, B Russo, M Di Penta, R Oliveto
IEEE Transactions on Software Engineering 45 (1), 68-86, 2017
Mandates: Swiss National Science Foundation
Development emails content analyzer: Intention mining in developer discussions (T)
A Di Sorbo, S Panichella, CA Visaggio, M Di Penta, G Canfora, HC Gall
2015 30th IEEE/ACM International Conference on Automated Software …, 2015
Mandates: Swiss National Science Foundation
An empirical characterization of bad practices in continuous integration
F Zampetti, C Vassallo, S Panichella, G Canfora, H Gall, M Di Penta
Empirical Software Engineering 25, 1095-1135, 2020
Mandates: Swiss National Science Foundation
An empirical study on the usage of bert models for code completion
M Ciniselli, N Cooper, L Pascarella, D Poshyvanyk, M Di Penta, G Bavota
2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021
Mandates: US National Science Foundation, European Commission
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
Mandates: US National Science Foundation, Swiss National Science Foundation
An empirical study on the usage of transformer models for code completion
M Ciniselli, N Cooper, L Pascarella, A Mastropaolo, E Aghajani, ...
IEEE Transactions on Software Engineering 48 (12), 4818-4837, 2021
Mandates: US National Science Foundation, European Commission
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