Fabio Palomba
Fabio Palomba
Verified email at ifi.uzh.ch - Homepage
TitleCited byYear
Detecting bad smells in source code using change history information
F Palomba, G Bavota, M Di Penta, R Oliveto, A De Lucia, D Poshyvanyk
Proceedings of the 28th IEEE/ACM International Conference on Automated …, 2013
1572013
When and why your code starts to smell bad
M Tufano, F Palomba, G Bavota, R Oliveto, M Di Penta, A De Lucia, ...
Proceedings of the 37th International Conference on Software Engineering …, 2015
1542015
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
1292014
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
1182014
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
1182014
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
982015
User reviews matter! tracking crowdsourced reviews to support evolution of successful apps
F Palomba, M Linares-Vasquez, G Bavota, R Oliveto, M Di Penta, ...
2015 IEEE international conference on software maintenance and evolution …, 2015
912015
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
562018
Recommending and localizing change requests for mobile apps based on user reviews
F Palomba, P Salza, A Ciurumelea, S Panichella, H Gall, F Ferrucci, ...
Proceedings of the 39th international conference on software engineering …, 2017
542017
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
532017
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
492016
An empirical investigation into the nature of test smells
M Tufano, F Palomba, G Bavota, M Di Penta, R Oliveto, A De Lucia, ...
2016 31st IEEE/ACM International Conference on Automated Software …, 2016
452016
Does refactoring of test smells induce fixing flaky tests?
F Palomba, A Zaidman
2017 IEEE international conference on software maintenance and evolution …, 2017
422017
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
332017
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
312017
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
312017
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
302017
Dynamic selection of classifiers in bug prediction: An adaptive method
D Di Nucci, F Palomba, R Oliveto, A De Lucia
IEEE Transactions on Emerging Topics in Computational Intelligence 1 (3 …, 2017
292017
On the diffusion of test smells in automatically generated test code: An empirical study
F Palomba, D Di Nucci, A Panichella, R Oliveto, A De Lucia
Proceedings of the 9th international workshop on search-based software …, 2016
272016
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
262018
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