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Fabio Palomba
Fabio Palomba
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When and why your code starts to smell bad
M Tufano, F Palomba, G Bavota, R Oliveto, M Di Penta, A De Lucia, ...
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015
4012015
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation
F Palomba, G Bavota, M Di Penta, F Fasano, R Oliveto, A De Lucia
Proceedings of the 40th International Conference on Software Engineering …, 2018
3882018
Mining version histories for detecting code smells
F Palomba, G Bavota, M Di Penta, R Oliveto, D Poshyvanyk, A De Lucia
IEEE Transactions on Software Engineering 41 (5), 462-489, 2014
3312014
Detecting bad smells in source code using change history information
F Palomba, G Bavota, M Di Penta, R Oliveto, A De Lucia, D Poshyvanyk
2013 28th IEEE/ACM International Conference on Automated Software …, 2013
3272013
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
324*2020
Do they really smell bad? a study on developers' perception of bad code smells
F Palomba, G Bavota, M Di Penta, R Oliveto, A De Lucia
2014 IEEE International Conference on Software Maintenance and Evolution …, 2014
3062014
Detecting code smells using machine learning techniques: Are we there yet?
D Di Nucci, F Palomba, DA Tamburri, A Serebrenik, A De Lucia
2018 ieee 25th international conference on software analysis, evolution and …, 2018
2962018
An experimental investigation on the innate relationship between quality and refactoring
G Bavota, A De Lucia, M Di Penta, R Oliveto, F Palomba
Journal of Systems and Software 107, 1-14, 2015
2792015
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
2782017
Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
MI Azeem, F Palomba, L Shi, Q Wang
Information and Software Technology 108, 115-138, 2019
2712019
User reviews matter! tracking crowdsourced reviews to support evolution of successful apps
F Palomba, M Linares-Vásquez, G Bavota, R Oliveto, M Di Penta, ...
2015 IEEE international conference on software maintenance and evolution …, 2015
2452015
Recommending and localizing change requests for mobile apps based on user reviews
F Palomba, P Salza, A Ciurumelea, S Panichella, H Gall, F Ferrucci, ...
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017
1962017
An empirical investigation into the nature of test smells
M Tufano, F Palomba, G Bavota, M Di Penta, R Oliveto, A De Lucia, ...
Proceedings of the 31st IEEE/ACM international conference on automated …, 2016
1852016
Understanding flaky tests: The developer’s perspective
M Eck, F Palomba, M Castelluccio, A Bacchelli
Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019
1772019
On the relation of test smells to software code quality
D Spadini, F Palomba, A Zaidman, M Bruntink, A Bacchelli
2018 IEEE international conference on software maintenance and evolution …, 2018
1722018
How developers engage with static analysis tools in different contexts
C Vassallo, S Panichella, F Palomba, S Proksch, HC Gall, A Zaidman
Empirical Software Engineering 25, 1419-1457, 2020
1672020
A textual-based technique for smell detection
F Palomba, A Panichella, A De Lucia, R Oliveto, A Zaidman
2016 IEEE 24th international conference on program comprehension (ICPC), 1-10, 2016
1632016
Adoption, support, and challenges of infrastructure-as-code: Insights from industry
M Guerriero, M Garriga, DA Tamburri, F Palomba
2019 IEEE International conference on software maintenance and evolution …, 2019
1592019
Fine-grained just-in-time defect prediction
L Pascarella, F Palomba, A Bacchelli
Journal of Systems and Software 150, 22-36, 2019
1582019
A developer centered bug prediction model
D Di Nucci, F Palomba, G De Rosa, G Bavota, R Oliveto, A De Lucia
IEEE Transactions on Software Engineering 44 (1), 5-24, 2017
1572017
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