| 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 | 215 | 2012 |
| Comparing and experimenting machine learning techniques for code smell detection FA Fontana, MV Mäntylä, M Zanoni, A Marino Empirical Software Engineering 21 (3), 1143-1191, 2016 | 202 | 2016 |
| 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 | 109 | 2013 |
| A tool for design pattern detection and software architecture reconstruction FA Fontana, M Zanoni Information sciences 181 (7), 1306-1324, 2011 | 94 | 2011 |
| On applying machine learning techniques for design pattern detection M Zanoni, FA Fontana, F Stella Journal of Systems and Software 103, 102-117, 2015 | 77 | 2015 |
| An experience report on using code smells detection tools FA Fontana, E Mariani, A Mornioli, R Sormani, A Tonello 2011 IEEE fourth international conference on software testing, verification …, 2011 | 77 | 2011 |
| 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 | 67 | 2015 |
| Investigating the impact of code smells debt on quality code evaluation FA Fontana, V Ferme, S Spinelli 2012 Third International Workshop on Managing Technical Debt (MTD), 15-22, 2012 | 67 | 2012 |
| 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 | 66 | 2015 |
| 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 | 61 | 2017 |
| 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 | 58 | 2017 |
| Code smell severity classification using machine learning techniques FA Fontana, M Zanoni Knowledge-Based Systems 128, 43-58, 2017 | 58 | 2017 |
| 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 | 58 | 2016 |
| Likelog: A logic programming language for flexible data retrieval F Arcelli, F Formato Proceedings of the 1999 ACM symposium on Applied computing, 260-267, 1999 | 58 | 1999 |
| Investigating the impact of code smells on system's quality: an empirical study on systems of different application domains FA Fontana, V Ferme, A Marino, B Walter, P Martenka 2013 IEEE International Conference on Software Maintenance, 260-269, 2013 | 56 | 2013 |
| 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 | 50 | 2016 |
| Automatic detection of instability architectural smells FA Fontana, I Pigazzini, R Roveda, M Zanoni 2016 IEEE International Conference on Software Maintenance and Evolution …, 2016 | 49 | 2016 |
| A comparison of reverse engineering tools based on design pattern decomposition F Arcelli, S Masiero, C Raibulet, F Tisato 2005 Australian Software Engineering Conference, 262-269, 2005 | 48 | 2005 |
| 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 | 46 | 2015 |
| Impact of refactoring on quality code evaluation FA Fontana, S Spinelli Proceedings of the 4th Workshop on Refactoring Tools, 37-40, 2011 | 44 | 2011 |
