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Gemma Catolino
Gemma Catolino
University of Salerno - Software Engineering Lab
Verified email at unisa.it - Homepage
Title
Cited by
Cited by
Year
Gender Diversity and Women in Software Teams: How Do They Affect Community Smells?
G Catolino, F Palomba, DA Tamburri, A Serebrenik, F Ferrucci
41st International Conference on Software Engineering, Software Engineering …, 2019
1232019
Not all bugs are the same: Understanding, characterizing, and classifying bug types
G Catolino, F Palomba, A Zaidman, F Ferrucci
Journal of Systems and Software 152, 165-181, 2019
1042019
Enhancing change prediction models using developer-related factors
G Catolino, F Palomba, A De Lucia, F Ferrucci, A Zaidman
Journal of Systems and software 143, 14-28, 2018
562018
Cross-project just-in-time bug prediction for mobile apps: An empirical assessment
G Catolino, D Di Nucci, F Ferrucci
2019 IEEE/ACM 6th International Conference on Mobile Software Engineering …, 2019
532019
Improving change prediction models with code smell-related information
G Catolino, F Palomba, FA Fontana, A De Lucia, A Zaidman, F Ferrucci
Empirical Software Engineering 25, 49-95, 2020
512020
Gender diversity and community smells: insights from the trenches
G Catolino, F Palomba, DA Tamburri, A Serebrenik, F Ferrucci
IEEE Software 37 (1), 10-16, 2019
412019
Refactoring Community Smells in the Wild: The Practitioner˘s Field Manual
G Catolino, F Palomba, D Tamburri, A Serebrenik, F Ferrucci
382020
An extensive evaluation of ensemble techniques for software change prediction
G Catolino, F Ferrucci
Journal of Software: Evolution and Process, 15, 2019
352019
Testing of mobile applications in the wild: A large-scale empirical study on android apps
F Pecorelli, G Catolino, F Ferrucci, A De Lucia, F Palomba
Proceedings of the 28th international conference on program comprehension …, 2020
272020
How the experience of development teams relates to assertion density of test classes
G Catolino, F Palomba, A Zaidman, F Ferrucci
2019 IEEE International Conference on Software Maintenance and Evolution …, 2019
272019
Just-in-time bug prediction in mobile applications: the domain matters!
G Catolino
2017 IEEE/ACM 4th International Conference on Mobile Software Engineering …, 2017
252017
Developer-related factors in change prediction: an empirical assessment
G Catolino, F Palomba, A De Lucia, F Ferrucci, A Zaidman
2017 IEEE/ACM 25th International Conference on Program Comprehension (ICPC …, 2017
242017
Effort-aware just-in-time bug prediction for mobile apps via cross-triplet deep feature embedding
Z Xu, K Zhao, T Zhang, C Fu, M Yan, Z Xie, X Zhang, G Catolino
IEEE Transactions on Reliability 71 (1), 204-220, 2021
232021
Visibility and reputation of new entrepreneurial projects from academia: the role of start-up competitions
R Parente, R Feola, V Cucino, G Catolino
Journal of the Knowledge Economy 6, 551-567, 2015
232015
Understanding community smells variability: A statistical approach
G Catolino, F Palomba, DA Tamburri, A Serebrenik
2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021
212021
A set of metrics for the effort estimation of mobile apps
G Catolino, P Salza, C Gravino, F Ferrucci
2017 IEEE/ACM 4th International Conference on Mobile Software Engineering …, 2017
192017
A compositional model for effort‐aware Just‐In‐Time defect prediction on android apps
K Zhao, Z Xu, M Yan, L Xue, W Li, G Catolino
IET Software 16 (3), 259-278, 2022
182022
Ensemble techniques for software change prediction: A preliminary investigation
G Catolino, F Ferrucci
2018 IEEE Workshop on Machine Learning Techniques for Software Quality …, 2018
182018
Just-in-time defect prediction for Android apps via imbalanced deep learning model
K Zhao, Z Xu, M Yan, Y Tang, M Fan, G Catolino
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1447-1454, 2021
172021
Software testing and Android applications: a large-scale empirical study
F Pecorelli, G Catolino, F Ferrucci, A De Lucia, F Palomba
Empirical Software Engineering 27 (2), 31, 2022
132022
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Articles 1–20