Publications

Fabio PALOMBA Publications


2021
Contributo in Atti di convegno
Understanding Community Smells Variability: A Statistical Approach: Replication Package Instructions.
In: Proceedings - International Conference on Software Engineering 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA IEEE Computer Society Pag.196-197
ISBN:978-1-6654-1219-3
43rd IEEE/ACM International Conference on Software Engineering: Companion, ICSE-Companion 2021
esp 2021
Catolino, G.; Palomba, F.; Tamburri, D. A.; Serebrenik, A.
Digital Object Identifier (DOI): 10.1109/ICSE-Companion52605.2021.00086
Codice identificativo ISI: WOS:000706450400066
Codice identificativo SCOPUS: 2-s2.0-85115732018
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2021
Contributo in Atti di convegno
Toward static test flakiness prediction: a feasibility study.
In: MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution ACM Pag.19-24
Machine Learning Techniques for Software Quality Evolution
Atene 23 Agosto 2021
Pontillo, Valeria; Palomba, Fabio; Ferrucci, Filomena
Digital Object Identifier (DOI): 10.1145/3472674.3473981
Codice identificativo ISI: WOS:000760309800004
Codice identificativo SCOPUS: 2-s2.0-85113848718
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2021
Contributo in Atti di convegno
Comparing within-and cross-project machine learning algorithms for code smell detection.
In: MaLTESQuE 2021 - Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, co-located with ESEC/FSE 2021 Association for Computing Machinery, Inc Pag.1-6
ISBN:9781450386258
5th International Workshop on Machine Learning Techniques for Software Quality Evolution, MaLTESQuE 2021, co-located with the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2021
Athens, Greece 2021
De Stefano, M.; Pecorelli, F.; Palomba, F.; De Lucia, A.
Versione online
Digital Object Identifier (DOI): 10.1145/3472674.3473978
Codice identificativo ISI: WOS:000760309800001
Codice identificativo SCOPUS: 2-s2.0-85113825122
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2021
Contributo in Atti di convegno
Understanding Community Smells Variability: A Statistical Approach.
In: Proceedings - International Conference on Software Engineering 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA IEEE Computer Society Vol.2021-, Pag.77-86
ISBN:978-1-6654-0139-5
43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, ICSE-SEIS 2021
Madrid 2021
Catolino, G.; Palomba, F.; Tamburri, D. A.; Serebrenik, A.
Digital Object Identifier (DOI): 10.1109/ICSE-SEIS52602.2021.00017
Codice identificativo ISI: WOS:000704137200009
Codice identificativo SCOPUS: 2-s2.0-85104222736
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