Gemma Catolino
Gemma Catolino
Jheronimus Academy of Data Science - Tilburg University
Email verificata su tilburguniversity.edu - Home page
Titolo
Citata da
Citata da
Anno
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
432019
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
372019
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
332018
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
222017
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
182019
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 (1), 49-95, 2020
172020
Just-in-time bug prediction in mobile applications: the domain matters!
G Catolino
2017 IEEE/ACM 4th International Conference on Mobile Software Engineering …, 2017
162017
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
162017
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
142019
An extensive evaluation of ensemble techniques for software change prediction
G Catolino, F Ferrucci
Journal of Software: Evolution and Process, 15, 2019
122019
Ensemble techniques for software change prediction: A preliminary investigation
G Catolino, F Ferrucci
2018 IEEE Workshop on Machine Learning Techniques for Software Quality …, 2018
112018
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 (3), 551-567, 2015
112015
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
92020
Refactoring Community Smells in the Wild: The Practitioner’s Field Manual
G Catolino, F Palomba, D Tamburri, A Serebrenik, F Ferrucci
92020
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
72019
Does source code quality reflect the ratings of apps?
G Catolino
Proceedings of the 5th International Conference on Mobile Software …, 2018
72018
Gender diversity and women in software teams: how do they affect community smells?. In 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering …
G Catolino, F Palomba, DA Tamburri, A Serebrenik, F Ferrucci
52019
Cross-project just-in-time bug prediction for mobile apps: An empirical assessment. In 2019 IEEE/ACM 6th International Conference on Mobile Software Engineering and Systems …
G Catolino, D Di Nucci, F Ferrucci
IEEE, 2019
52019
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
22021
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
12021
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