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Enrico Fregnan
Enrico Fregnan
ABB Corporate Research
Verified email at ch.abb.com
Title
Cited by
Cited by
Year
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
2262020
A survey on software coupling relations and tools
E Fregnan, T Baum, F Palomba, A Bacchelli
Information and Software Technology 107, 159-178, 2019
412019
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
262021
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
102023
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
102022
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
82022
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
72022
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
72022
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
72021
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
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
22022
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
Assessing review outcomes and cognitive factors to improve code review
E Fregnan
University of Zurich, 2023
2023
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