Seuraa
Enrico Fregnan
Enrico Fregnan
ABB Corporate Research
Vahvistettu sähköpostiosoite verkkotunnuksessa ch.abb.com
Nimike
Viittaukset
Viittaukset
Vuosi
UI dark patterns and where to find them: a study on mobile applications and user perception
L Di Geronimo, L Braz, E Fregnan, F Palomba, A Bacchelli
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
1982020
A survey on software coupling relations and tools
E Fregnan, T Baum, F Palomba, A Bacchelli
Information and Software Technology 107, 159-178, 2019
402019
Why Don’t Developers Detect Improper Input Validation?'; DROP TABLE Papers;--
L Braz, E Fregnan, G Çalikli, A Bacchelli
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
252021
Do explicit review strategies improve code review performance?
PW Gonçalves, E Fregnan, T Baum, K Schneider, A Bacchelli
Proceedings of the 17th international conference on mining software …, 2020
122020
Graph-based visualization of merge requests for code review
E Fregnan, J Fröhlich, D Spadini, A Bacchelli
Journal of Systems and Software 195, 111506, 2023
72023
First come first served: the impact of file position on code review
E Fregnan, L Braz, M D'Ambros, G Çalıklı, A Bacchelli
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
62022
Do explicit review strategies improve code review performance? Towards understanding the role of cognitive load
PW Gonçalves, E Fregnan, T Baum, K Schneider, A Bacchelli
Empirical Software Engineering 27 (4), 99, 2022
62022
What happens in my code reviews? An investigation on automatically classifying review changes
E Fregnan, F Petrulio, L Di Geronimo, A Bacchelli
Empirical Software Engineering 27 (4), 89, 2022
62022
Changeviz: Enhancing the github pull request interface with method call information
L Gasparini, E Fregnan, L Braz, T Baum, A Bacchelli
2021 Working Conference on Software Visualization (VISSOFT), 115-119, 2021
62021
SZZ in the time of pull requests
F Petrulio, D Ackermann, E Fregnan, G Calikli, M Castelluccio, S Ledru, ...
arXiv preprint arXiv:2209.03311, 2022
52022
An Exploratory Study on Regression Vulnerabilities
L Braz, E Fregnan, V Arora, A Bacchelli
Proceedings of the 16th ACM/IEEE International Symposium on Empirical …, 2022
32022
Automatic ordering of code changes for review
E Fregnan
32018
Data and Materials for: Why Don’t Developers Detect Improper Input Validation?'; DROP TABLE Papers;--
L Braz, E Fregnan, G Çalikli, A Bacchelli
2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021
22021
The evolution of the code during review: an investigation on review changes
E Fregnan, F Petrulio, A Bacchelli
Empirical Software Engineering 27 (7), 177, 2022
12022
Assessing review outcomes and cognitive factors to improve code review
E Fregnan
University of Zurich, 2023
2023
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Artikkelit 1–15