PALOMBA, Fabio

PALOMBA, Fabio  

Dipartimento di Informatica/DI  

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Risultati 1 - 20 di 87 (tempo di esecuzione: 0.109 secondi).
Titolo Data di pubblicazione Autore(i) File
Anti-Pattern Detection: Methods, Challenges, and Open Issues 1-gen-2015 Palomba, Fabio; DE LUCIA, Andrea; G., Bavota; R., Oliveto
ARIES: An Eclipse plugin to Support Extract Class Refactoring 1-gen-2013 G., Bavota; DE LUCIA, Andrea; A., Marcus; R., Oliveto; Palomba, Fabio; M., Tufano
Automatic Test Case Generation: What If Test Code Quality Matters? 1-gen-2016 Palomba, Fabio; Panichella, A.; Zaidman, A.; Oliveto, R.; DE LUCIA, Andrea
Automatic test smell detection using information retrieval techniques 1-gen-2018 Palomba, Fabio; Zaidman, Andy; De Lucia, Andrea
CASpER: A Plug-in for Automated Code Smell Detection and Refactoring 1-gen-2020 De Stefano, M.; Gambardella, M. S.; Pecorelli, F.; Palomba, F.; De Lucia, A.
Comparing heuristic and machine learning approaches for metric-based code smell detection 1-gen-2019 Pecorelli, Fabiano; Palomba, F.; Di Nucci, D.; De Lucia, A.
Comparing within-and cross-project machine learning algorithms for code smell detection 1-gen-2021 De Stefano, M.; Pecorelli, F.; Palomba, F.; De Lucia, A.
Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach 1-gen-2020 Cascavilla, G.; Slabber, J.; Palomba, F.; Di Nucci, D.; Tamburri, D. A.; Van Den Heuvel, W. -J.
Crowdsourcing user reviews to support the evolution of mobile apps 1-gen-2018 Palomba, Fabio; Linares-Vásquez, Mario; Bavota, Gabriele; Oliveto, Rocco; Penta, Massimiliano Di; Poshyvanyk, Denys; Lucia, Andrea De
DeepIaC: Deep learning-based linguistic anti-pattern detection in IaC 1-gen-2020 Borovits, N.; Kumara, I.; Krishnan, P.; Dalla Palma, S.; Di Nucci, D.; Palomba, F.; Tamburri, D. A.; v0an den Heuvel, W. -J.
Detecting Bad Smells in Source Code using Change History Information 1-gen-2013 Palomba, Fabio; Gabriele, Bavota; Massimiliano Di, Penta; Rocco, Oliveto; DE LUCIA, Andrea; Denys, Poshyvanyk
Detecting code smells using machine learning techniques: Are we there yet? 1-gen-2018 DI NUCCI, Dario; Palomba, Fabio; Andrew Tamburri, Damian; Serebrenik, Alexander; DE LUCIA, Andrea
A Developer Centered Bug Prediction Model 1-gen-2018 Di Nucci, Dario; Palomba, Fabio; De Rosa, Giuseppe; Bavota, Gabriele; Oliveto, Rocco; De Lucia, Andrea
Developer-Driven Code Smell Prioritization 1-gen-2020 Pecorelli, F.; Palomba, F.; Khomh, F.; De Lucia, A.
Developer-Related Factors in Change Prediction: An Empirical Assessment 1-gen-2017 Catolino, Gemma; Palomba, Fabio; DE LUCIA, Andrea; Ferrucci, Filomena; Zaidman, Andy
Do developers update third-party libraries in mobile apps? 1-gen-2018 Salza, Pasquale; Palomba, Fabio; DI NUCCI, Dario; D'Uva, Cosmo; DE LUCIA, Andrea; Ferrucci, Filomena
Do they Really Smell Bad? A Study on Developers’ Perception of Bad Code Smells 1-gen-2014 Palomba, Fabio; G., Bavota; M., Di Penta; R., Oliveto; DE LUCIA, Andrea
The do's and don'ts of infrastructure code: A systematic gray literature review 1-gen-2021 Kumara, I.; Garriga, M.; Romeu, A. U.; Di Nucci, D.; Palomba, F.; Tamburri, D. A.; van den Heuvel, W. -J.
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method 1-gen-2017 DI NUCCI, Dario; Palomba, Fabio; Oliveto, Rocco; De Lucia, Andrea
An Empirical Investigation into the Nature of Test Smells 1-gen-2016 Tufano, M.; Palomba, Fabio; Bavota, G.; Di Penta, M.; Oliveto, R.; DE LUCIA, Andrea; Poshyvanyk, D.