ARCELLI FONTANA FRANCESCA
- U14, Piano: 2, Stanza: 2055
Su appuntamento.
Biografia
Francesca Arcelli Fontana is currently in the position of Full Professor at University of Milano Bicocca and Director of the Education Program for Computer Science. She taken her degree and PhD in Computer Science at the University of Milano (Italy). She worked at University of Salerno and University of Sannio in the role of Researcher. The actual research activity principally concerns the software engineering field, in particular software evolution and reverse engineering, code smell and design pattern detection through machine learning techniques, architectural smell detection and managing technical debt. She is the head of the Software Evolution and Reverse Engineering Lab (ESSeRE Lab) at University of Milano Bicocca and member of IEEE Computer Society.
Pubblicazioni
Azadi, U., Walter, B., Fontana, F. (2024). Prioritisation of code clones using a genetic algorithm. INFORMATION AND SOFTWARE TECHNOLOGY, 170(June 2024) [10.1016/j.infsof.2024.107443]. Dettaglio
Bacchiega, P., Rusconi, D., Mereghetti, P., Fontana, F. (2024). Refactoring of a Microservices Project Driven by Architectural Smell Detection. In Proceedings - IEEE 21st International Conference on Software Architecture Companion, ICSA-C 2024 (pp.281-288). Institute of Electrical and Electronics Engineers Inc. [10.1109/icsa-c63560.2024.00040]. Dettaglio
Ponce, F., Malnati, A., Negro, R., Fontana, F., Astudillo, H., Brogi, A., et al. (2024). SST: A Tool to Support the Triage of Security Smells in Microservice Applications. SN COMPUTER SCIENCE, 5(8) [10.1007/s42979-024-03372-5]. Dettaglio
Soldani, J., Rendina, D., Arcelli Fontana, F., Brogi, A. (2023). Kubernetes-Enabled Detection and Resolution of Architectural Smells for Microservices. In Proceedings - 17th IEEE International Conference on Service-Oriented System Engineering, SOSE 2023 (pp.75-80). IEEE [10.1109/SOSE58276.2023.00015]. Dettaglio
Biaggi, A., Azadi, U., Arcelli Fontana, F. (2023). A New Approach for Software Quality Assessment Based on Automated Code Anomalies Detection. In Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering ENASE (pp.546-553). Science and Technology Publications, Lda [10.5220/0011965200003464]. Dettaglio
Premi e responsabilità scientifiche
Comitati editoriali
- Guest Editor di rivista o collana editoriale - JOURNAL OF SOFTWARE, 2018
- Guest Editor di rivista o collana editoriale - THE JOURNAL OF SYSTEMS AND SOFTWARE, 2018
- Associate Editor di rivista o collana editoriale - E-INFORMATICA, 2016
- Associate Editor di rivista o collana editoriale - SOFTWARE QUALITY JOURNAL, 2016
Congressi/Convegni
- Program committee - International Conference on Software Engineering and Advanced Applications (SEAA 2018),(Repubblica Ceca), 2018
- Program committee - Technical Debt 2018(Svezia), 2018
- Program committee - International Conference on Software Architecture(Stati Uniti), 2018
- Program committee - Symposium on Applied Computing SAC (2018)(Francia), 2018
- Program chair - Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2018)(Italia), 2018
- Program chair - Workshop on Managing Technical Debt(Germania), 2018
- Program committee - International Conference on Evaluation and Assessment in Software Engineering 2017(Svezia), 2017
- Program committee - Symposium on Applied Computing SAC(2017)(Marocco), 2017
- Program chair - Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2017)(Austria), 2017