| Comparing and experimenting machine learning techniques for code smell detection F Arcelli Fontana, MV Mäntylä, M Zanoni, A Marino Empirical Software Engineering 21, 1143-1191, 2016 | 514 | 2016 |
| Automatic detection of bad smells in code: An experimental assessment. FA Fontana, P Braione, M Zanoni J. Object Technol. 11 (2), 5:1-38, 2012 | 309 | 2012 |
| Code smell detection: Towards a machine learning-based approach FA Fontana, M Zanoni, A Marino, MV Mäntylä 2013 IEEE international conference on software maintenance, 396-399, 2013 | 218 | 2013 |
| Code smell severity classification using machine learning techniques FA Fontana, M Zanoni Knowledge-Based Systems 128, 43-58, 2017 | 186 | 2017 |
| Arcan: A tool for architectural smells detection FA Fontana, I Pigazzini, R Roveda, D Tamburri, M Zanoni, E Di Nitto 2017 IEEE International Conference on Software Architecture Workshops (ICSAW …, 2017 | 160 | 2017 |
| On applying machine learning techniques for design pattern detection M Zanoni, FA Fontana, F Stella Journal of Systems and Software 103, 102-117, 2015 | 147 | 2015 |
| Towards a prioritization of code debt: A code smell intensity index FA Fontana, V Ferme, M Zanoni, R Roveda 2015 IEEE 7th International Workshop on Managing Technical Debt (MTD), 16-24, 2015 | 136 | 2015 |
| Toward a smell-aware bug prediction model F Palomba, M Zanoni, FA Fontana, A De Lucia, R Oliveto IEEE Transactions on Software Engineering 45 (2), 194-218, 2017 | 131 | 2017 |
| A tool for design pattern detection and software architecture reconstruction FA Fontana, M Zanoni Information Sciences, 2011 | 121 | 2011 |
| Automatic metric thresholds derivation for code smell detection FA Fontana, V Ferme, M Zanoni, A Yamashita 2015 IEEE/ACM 6th International Workshop on Emerging Trends in Software …, 2015 | 112 | 2015 |
| Automatic detection of instability architectural smells FA Fontana, I Pigazzini, R Roveda, M Zanoni 2016 IEEE international conference on software maintenance and evolution …, 2016 | 109 | 2016 |
| Antipattern and code smell false positives: Preliminary conceptualization and classification FA Fontana, J Dietrich, B Walter, A Yamashita, M Zanoni 2016 IEEE 23rd international conference on software analysis, evolution, and …, 2016 | 98 | 2016 |
| Model-driven reverse engineering approaches: A systematic literature review C Raibulet, FA Fontana, M Zanoni Ieee Access 5, 14516-14542, 2017 | 93 | 2017 |
| Towards assessing software architecture quality by exploiting code smell relations FA Fontana, V Ferme, M Zanoni 2015 IEEE/ACM 2nd International Workshop on Software Architecture and …, 2015 | 83 | 2015 |
| Smells like teen spirit: Improving bug prediction performance using the intensity of code smells F Palomba, M Zanoni, FA Fontana, A De Lucia, R Oliveto 2016 IEEE International Conference on Software Maintenance and Evolution …, 2016 | 80 | 2016 |
| Inter-smell relations in industrial and open source systems: A replication and comparative analysis A Yamashita, M Zanoni, FA Fontana, B Walter 2015 IEEE International conference on software maintenance and evolution …, 2015 | 77 | 2015 |
| Technical debt indexes provided by tools: A preliminary discussion FA Fontana, R Roveda, M Zanoni 2016 IEEE 8th international workshop on managing technical debt (MTD), 28-31, 2016 | 60 | 2016 |
| Tool support for evaluating architectural debt of an existing system: An experience report FA Fontana, R Roveda, M Zanoni Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1347-1349, 2016 | 58 | 2016 |
| On experimenting refactoring tools to remove code smells FA Fontana, M Mangiacavalli, D Pochiero, M Zanoni Scientific workshop proceedings of the XP2015, 1-8, 2015 | 58 | 2015 |
| Towards an architectural debt index R Roveda, FA Fontana, I Pigazzini, M Zanoni 2018 44th Euromicro Conference on Software Engineering and Advanced …, 2018 | 54 | 2018 |
Francesca Arcelli FontanaProfessore OrdinarioEmail yang diverifikasi di disco.unimib.it
