| 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 | 251 | 2015 |
| 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 | 220 | 2013 |
| 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 | 210 | 2014 |
| 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 | 209 | 2014 |
| 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 | 175 | 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 Empirical Software Engineering 23 (3), 1188-1221, 2018 | 152 | 2018 |
| 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 | 147 | 2015 |
| 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 | 117 | 2017 |
| 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 | 102 | 2016 |
| 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 | 101 | 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 | 95 | 2016 |
| Notice of retraction: Does refactoring of test smells induce fixing flaky tests? F Palomba, A Zaidman 2017 IEEE international conference on software maintenance and evolution …, 2017 | 90 | 2017 |
| 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 | 83 | 2018 |
| 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 | 79 | 2017 |
| Software-based energy profiling of android apps: Simple, efficient and reliable? D Di Nucci, F Palomba, A Prota, A Panichella, A Zaidman, A De Lucia 2017 IEEE 24th international conference on software analysis, evolution and …, 2017 | 66 | 2017 |
| There and back again: Can you compile that snapshot? M Tufano, F Palomba, G Bavota, M Di Penta, R Oliveto, A De Lucia, ... Journal of Software: Evolution and Process 29 (4), e1838, 2017 | 65 | 2017 |
| Lightweight detection of android-specific code smells: The adoctor project F Palomba, D Di Nucci, A Panichella, A Zaidman, A De Lucia 2017 IEEE 24th international conference on software analysis, evolution and …, 2017 | 60 | 2017 |
| Toward a smell-aware bug prediction model F Palomba, M Zanoni, FA Fontana, A De Lucia, R Oliveto IEEE Transactions on Software Engineering 45 (2), 194-218, 2017 | 57 | 2017 |
| The scent of a smell: An extensive comparison between textual and structural smells F Palomba, A Panichella, A Zaidman, R Oliveto, A De Lucia IEEE Transactions on Software Engineering 44 (10), 977-1000, 2017 | 57 | 2017 |
| 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 | 56 | 2019 |
Andrea De LuciaUniversity of Salerno, ItalyVerified email at unisa.it
