Publications

Andrea DE LUCIA Publications


2019
Articolo in rivista
Toward a Smell-aware Bug Prediction Model
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING. Vol. 45(2). Pag.194-218
ISSN:0098-5589.
Palomba, Fabio; Zanoni, Marco; Arcelli Fontana, Francesca; De Lucia, Andrea; Oliveto, Rocco
Versione online
Digital Object Identifier (DOI): 10.1109/TSE.2017.2770122
Codice identificativo ISI: WOS:000458805300004
Codice identificativo SCOPUS: 2-s2.0-85034272704
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2019
Articolo in rivista
On the impact of code smells on the energy consumption of mobile applications
INFORMATION AND SOFTWARE TECHNOLOGY. Vol. 105. Pag.43-55
ISSN:0950-5849.
Palomba, Fabio; DI NUCCI, Dario; Panichella, Annibale; Zaidman, Andy; DE LUCIA, Andrea
Versione online
Digital Object Identifier (DOI): 10.1016/j.infsof.2018.08.004
Codice identificativo ISI: WOS:000452586900004
Codice identificativo SCOPUS: 2-s2.0-85053135385
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2019
Articolo in rivista
Scented since the beginning: On the diffuseness of test smells in automatically generated test code
THE JOURNAL OF SYSTEMS AND SOFTWARE. Vol. 156. Pag.312-327
ISSN:0164-1212.
Grano, G.; Palomba, F.; Di Nucci, D.; De Lucia, A.; Gall, H. C.
Versione online
Digital Object Identifier (DOI): 10.1016/j.jss.2019.07.016
Codice identificativo ISI: WOS:000483658000020
Codice identificativo SCOPUS: 2-s2.0-85069618644
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2019
Contributo in Atti di convegno
Comparing heuristic and machine learning approaches for metric-based code smell detection.
In: IEEE International Conference on Program Comprehension IEEE Computer Society Pag.93-104
ISBN:978-1-7281-1519-1
27th IEEE/ACM International Conference on Program Comprehension, ICPC 2019
Montreal, Canada 2019
Pecorelli, Fabiano; Palomba, F.; Di Nucci, D.; De Lucia, A.
Digital Object Identifier (DOI): 10.1109/ICPC.2019.00023
Codice identificativo ISI: WOS:000693400500010
Codice identificativo SCOPUS: 2-s2.0-85072316200
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2019
Contributo in Atti di convegno
On the role of data balancing for machine learning-based code smell detection.
In: MaLTeSQuE 2019 - Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, co-located with ESEC/FSE 2019 Association for Computing Machinery, Inc Pag.19-24
ISBN:9781450368551
3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE 2019, co-located with ESEC/FSE 2019
Estonia 2019
Pecorelli, F.; Di Nucci, D.; De Roover, C.; De Lucia, A.
Versione online
Digital Object Identifier (DOI): 10.1145/3340482.3342744
Codice identificativo ISI: WOS:000532562700004
Codice identificativo SCOPUS: 2-s2.0-85076433758
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