Andrea DE LUCIA | Pubblicazioni
Andrea DE LUCIA Pubblicazioni
2021 | |
Articolo in rivista | |
A systematic literature review on bad smells — 5 W's: which, when, what, who, where IEEE TRANSACTIONS ON SOFTWARE ENGINEERING. Vol. 47(1). Pag.17-66 ISSN:0098-5589. | |
Sobrinho, Elder Vicente de Paulo; De Lucia, Andrea; Maia, Marcelo de Almeida | |
Versione online | |
Digital Object Identifier (DOI): 10.1109/TSE.2018.2880977 Codice identificativo ISI: WOS:000607376900002 Codice identificativo SCOPUS: 2-s2.0-85056326860 | |
Visualizza sul Database dei Prodotti (IRIS) |
2021 | |
Articolo in rivista | |
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems EMPIRICAL SOFTWARE ENGINEERING. Vol. 26. Pag.1-42 ISSN:1382-3256. | |
Pecorelli, Fabiano; Palomba, Fabio; DE LUCIA, Andrea | |
Digital Object Identifier (DOI): 10.1007/s10664-020-09891-y Codice identificativo ISI: WOS:000620666600002 Codice identificativo SCOPUS: 2-s2.0-85101418276 | |
Visualizza sul Database dei Prodotti (IRIS) |
2021 | |
Contributo in Atti di convegno | |
Toward Automated Exploit Generation for Known Vulnerabilities in Open-Source Libraries. In: IEEE International Conference on Program Comprehension 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA IEEE Computer Society Pag.396-400 ISBN:978-1-6654-1403-6 | |
29th IEEE/ACM International Conference on Program Comprehension, ICPC 2021 Madrid, Spain 2021 | |
Iannone, E.; Nucci, D. D.; Sabetta, A.; De Lucia, A. | |
Versione online | |
Digital Object Identifier (DOI): 10.1109/ICPC52881.2021.00046 Codice identificativo ISI: WOS:000693398800039 Codice identificativo SCOPUS: 2-s2.0-85113240351 | |
Visualizza sul Database dei Prodotti (IRIS) |
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 | |
Visualizza sul Database dei Prodotti (IRIS) |