ARCELLI FONTANA FRANCESCA

Ruolo:
Professoressa ordinaria
Settore scientifico disciplinare:
Sistemi di elaborazione delle informazioni (ING-INF/05)
Telefono:
Stanza:
  • U14, Piano: 2, Stanza: 2055
Orari di ricevimento:

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

  • Trubiani, C., Pinciroli, R., Biaggi, A., ARCELLI FONTANA, F. (2023). Automated Detection of Software Performance Antipatterns in Java-Based Applications. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 49(4), 2873-2891 [10.1109/TSE.2023.3234321]. Dettaglio

  • Capilla, R., Fontana, F., Mikkonen, T., Bacchiega, P., Salamanca, V. (2023). Detecting Architecture Debt in Micro-Service Open-Source Projects. In Proceedings - 2023 49th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2023 (pp.394-401). IEEE Computer Society [10.1109/SEAA60479.2023.00066]. 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

  • Arcelli Fontana, F., Camilli, M., Rendina, D., Taraboi, A., Trubiani, C. (2023). Impact of Architectural Smells on Software Performance: an Exploratory Study. In EASE '23: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering (pp.22-31). Association for Computing Machinery [10.1145/3593434.3593442]. Dettaglio

  • Soldani, J., Rendina, D., 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

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