| 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 | 400 | 2015 |
| 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 | 388 | 2018 |
| 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 | 332 | 2014 |
| 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 | 327 | 2013 |
| 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 | 319* | 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 | 307 | 2014 |
| 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 | 295 | 2018 |
| 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 | 279 | 2017 |
| 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 | 279 | 2015 |
| 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 | 270 | 2019 |
| 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 | 244 | 2015 |
| 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 | 196 | 2017 |
| 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 | 186 | 2016 |
| 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 | 176 | 2019 |
| 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 | 173 | 2018 |
| 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 | 166 | 2020 |
| 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 | 163 | 2016 |
| 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 | 158 | 2019 |
| Fine-grained just-in-time defect prediction L Pascarella, F Palomba, A Bacchelli Journal of Systems and Software 150, 22-36, 2019 | 157 | 2019 |
| 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 | 156 | 2017 |
Andrea De LuciaUniversity of Salerno, ItalyZweryfikowany adres z unisa.it
