Researcher
Dario Di Nucci
- Research Expertise:
01/02/01/02 Data mining
01/02/01/04 Machine learning and decision making
01/02/06/06 Software engineering
- Keywords:Computer science (incl. applied informatics)
- Disciplines:Agricultural, veterinary and food sciences, Humanities and the arts, Natural sciences, Engineering and technology
- Users of research expertise:
01/02/01/02 Data mining
01/02/01/04 Machine learning and decision making
01/02/06/06 Software engineering
Affiliations
- Informatics and Applied Informatics (Department)
Member
From15 Apr 2020 → 30 Sep 2020 - Informatics and Applied Informatics (Department)
Member
From8 Apr 2019 → 14 Jun 2020 - Informatics and Applied Informatics (Department)
Member
From1 Oct 2018 → 30 Sep 2019 - Informatics and Applied Informatics (Department)
Member
From1 Oct 2018 → 30 Sep 2019 - Software Languages Lab (Research group)
Member
From1 Jan 2018 → 30 Sep 2020 - Informatics and Applied Informatics (Department)
Member
From1 Jan 2018 → 30 Sep 2020
Publications
1 - 10 of 15
- A Text Classification Approach to API Type Resolution for Incomplete Code Snippets(2023)
Authors: Camilo Velázquez-Rodríguez, Dario Di Nucci, Coen De Roover
- Prioritising Server Side Reachability via Inter-process Concolic Testing(2020)
Authors: Maarten Vandercammen, Laurent Christophe, Dario Di Nucci, Wolfgang De Meuter, Coen De Roover
- Mining Patterns in Source Code using Tree Mining Algorithms(2019)Series: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Authors: Hoang Son Pham, Siegfried Nijssen, Kim Mens, Dario Di Nucci, Tim Christiaan Molderez, Coen De Roover, Johan Fabry, Vadim Zaytsev
Pages: 471-480Number of pages: 10 - SoCRATES - Scala Radar for Test Smells(2019)Series: Scala 2019 - Proceedings of the 10th ACM SIGPLAN International Symposium on Scala, Part of ECOOP 2019
Authors: Jonas De Bleser, Dario Di Nucci, Coen De Roover
Pages: 22-26Number of pages: 5 - On the Impact of Code Smells on the Energy Consumption of Mobile Applications(2019)
Authors: Fabio Palomba, Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia
Pages: 43-55 - Assessing Diffusion and Perception of Test Smells in Scala Projects(2019)
Authors: Jonas De Bleser, Dario Di Nucci, Coen De Roover
Pages: 457-467Number of pages: 11 - The Role of Meta-Learners in the Adaptive Selection of Classifiers(2018)
Authors: Dario Di Nucci, Andrea De Lucia
Pages: 7-12Number of pages: 6 - Comparing Heuristic and Machine Learning Approaches for Metric-Based Code Smell Detection(2018)
Authors: Fabiano Pecorelli, Fabio Palomba, Dario Di Nucci, Andrea De Lucia
Pages: 93-104Number of pages: 12 - Detecting Code Smells using Machine Learning Techniques: Are We There Yet?(2018)Series: 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - ProceedingsVolume: 2018-March
Authors: Dario Di Nucci, Fabio Palomba, Damian Tamburri, Alexander Serebrenik, Andrea De Lucia
Pages: 612-621Number of pages: 10 - Do Developers Update Third-Party Libraries in Mobile Apps?Series: Proceedings of the 26th Conference on Program Comprehension - ICPC '18
Authors: Pasquale Salza, Fabio Palomba, Dario Di Nucci, Cosmo D'Uva, Filomena Ferrucci, Andrea De Lucia
Pages: 255-265Number of pages: 11