DI NUCCI, DARIO
DI NUCCI, DARIO
Dipartimento di Informatica/DI
A delta-debugging approach to assessing the resilience of actor programs through run-time test perturbations
2020-01-01 De Bleser, J.; Di Nucci, D.; De Roover, C.
A Developer Centered Bug Prediction Model
2018-01-01 Di Nucci, Dario; Palomba, Fabio; De Rosa, Giuseppe; Bavota, Gabriele; Oliveto, Rocco; De Lucia, Andrea
A graph-based dataset of commit history of real-world Android apps
2018-01-01 Geiger, F. -X.; Malavolta, I.; Pascarella, L.; Palomba, F.; Di Nucci, D.; Bacchelli, A.
A language-parametric modular framework for mining idiomatic code patterns
2019-01-01 Di Nucci, D.; Pham, H. S.; Fabry, J.; De Roover, C.; Mens, K.; Molderez, T.; Nijssen, S.; Zaytsev, V.
A large empirical assessment of the role of data balancing in machine-learning-based code smell detection
2020-01-01 Pecorelli, F.; Di Nucci, D.; De Roover, C.; De Lucia, A.
A Multivocal Literature Review of MLOps Tools and Features
2022-01-01 Recupito, Gilberto; Pecorelli, Fabiano; Catolino, Gemma; Moreschini, Sergio; Nucci, Dario Di; Palomba, Fabio; Tamburri, Damian A.
A preliminary evaluation on the relationship among architectural and test smells
2022-01-01 De Stefano, M.; Pecorelli, F.; Di Nucci, D.; De Lucia, A.
A Test Case Prioritization Genetic Algorithm guided by the Hypervolume Indicator
2020-01-01 DI NUCCI, Dario; Panichella, Annibale; Zaidman, Andy; DE LUCIA, Andrea
A text classification approach to API type resolution for incomplete code snippets
2023-01-01 Velazquez-Rodriguez, C.; Di Nucci, D.; De Roover, C.
Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study
2021-01-01 Pecorelli, F.; Di Nucci, D.
ADAS Verification in Co-Simulation: Towards a Meta-Model for Defining Test Scenarios
2023-01-01 Basciani, F.; Cortellessa, V.; Di Martino, S.; Di Nucci, D.; Di Pompeo, D.; Gravino, C.; Starace, L. L. L.
AnsibleMetrics: A Python library for measuring Infrastructure-as-Code blueprints in Ansible
2020-01-01 Dalla Palma, S.; Di Nucci, D.; Tamburri, D. A.
Assessing diffusion and perception of test smells in scala projects
2019-01-01 De Bleser, J.; Di Nucci, D.; De Roover, C.
Bayesian Meta-Analysis of Software Defect Prediction With Machine Learning
2023-01-01 Mohammadi, Majid; DI NUCCI, Dario; Tamburri, Damian A.
Comparing heuristic and machine learning approaches for metric-based code smell detection
2019-01-01 Pecorelli, Fabiano; Palomba, F.; Di Nucci, D.; De Lucia, A.
Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach
2020-01-01 Cascavilla, G.; Slabber, J.; Palomba, F.; Di Nucci, D.; Tamburri, D. A.; Van Den Heuvel, W. -J.
Cross-Project Just-in-Time Bug Prediction for Mobile Apps: An Empirical Assessment
2019-01-01 Catolino, G; Di Nucci, D; Ferrucci, F
DeepIaC: Deep learning-based linguistic anti-pattern detection in IaC
2020-01-01 Borovits, N.; Kumara, I.; Krishnan, P.; Dalla Palma, S.; Di Nucci, D.; Palomba, F.; Tamburri, D. A.; v0an den Heuvel, W. -J.
Defuse: A Data Annotator and Model Builder for Software Defect Prediction
2022-01-01 Dalla Palma, S.; Di Nucci, D.; Tamburri, D.
Detecting code smells using machine learning techniques: Are we there yet?
2018-01-01 DI NUCCI, Dario; Palomba, Fabio; Andrew Tamburri, Damian; Serebrenik, Alexander; DE LUCIA, Andrea
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A delta-debugging approach to assessing the resilience of actor programs through run-time test perturbations | 1-gen-2020 | De Bleser, J.; Di Nucci, D.; De Roover, C. | |
| A Developer Centered Bug Prediction Model | 1-gen-2018 | Di Nucci, Dario; Palomba, Fabio; De Rosa, Giuseppe; Bavota, Gabriele; Oliveto, Rocco; De Lucia, Andrea | |
| A graph-based dataset of commit history of real-world Android apps | 1-gen-2018 | Geiger, F. -X.; Malavolta, I.; Pascarella, L.; Palomba, F.; Di Nucci, D.; Bacchelli, A. | |
| A language-parametric modular framework for mining idiomatic code patterns | 1-gen-2019 | Di Nucci, D.; Pham, H. S.; Fabry, J.; De Roover, C.; Mens, K.; Molderez, T.; Nijssen, S.; Zaytsev, V. | |
| A large empirical assessment of the role of data balancing in machine-learning-based code smell detection | 1-gen-2020 | Pecorelli, F.; Di Nucci, D.; De Roover, C.; De Lucia, A. | |
| A Multivocal Literature Review of MLOps Tools and Features | 1-gen-2022 | Recupito, Gilberto; Pecorelli, Fabiano; Catolino, Gemma; Moreschini, Sergio; Nucci, Dario Di; Palomba, Fabio; Tamburri, Damian A. | |
| A preliminary evaluation on the relationship among architectural and test smells | 1-gen-2022 | De Stefano, M.; Pecorelli, F.; Di Nucci, D.; De Lucia, A. | |
| A Test Case Prioritization Genetic Algorithm guided by the Hypervolume Indicator | 1-gen-2020 | DI NUCCI, Dario; Panichella, Annibale; Zaidman, Andy; DE LUCIA, Andrea | |
| A text classification approach to API type resolution for incomplete code snippets | 1-gen-2023 | Velazquez-Rodriguez, C.; Di Nucci, D.; De Roover, C. | |
| Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study | 1-gen-2021 | Pecorelli, F.; Di Nucci, D. | |
| ADAS Verification in Co-Simulation: Towards a Meta-Model for Defining Test Scenarios | 1-gen-2023 | Basciani, F.; Cortellessa, V.; Di Martino, S.; Di Nucci, D.; Di Pompeo, D.; Gravino, C.; Starace, L. L. L. | |
| AnsibleMetrics: A Python library for measuring Infrastructure-as-Code blueprints in Ansible | 1-gen-2020 | Dalla Palma, S.; Di Nucci, D.; Tamburri, D. A. | |
| Assessing diffusion and perception of test smells in scala projects | 1-gen-2019 | De Bleser, J.; Di Nucci, D.; De Roover, C. | |
| Bayesian Meta-Analysis of Software Defect Prediction With Machine Learning | 1-gen-2023 | Mohammadi, Majid; DI NUCCI, Dario; Tamburri, Damian A. | |
| Comparing heuristic and machine learning approaches for metric-based code smell detection | 1-gen-2019 | Pecorelli, Fabiano; Palomba, F.; Di Nucci, D.; De Lucia, A. | |
| Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach | 1-gen-2020 | Cascavilla, G.; Slabber, J.; Palomba, F.; Di Nucci, D.; Tamburri, D. A.; Van Den Heuvel, W. -J. | |
| Cross-Project Just-in-Time Bug Prediction for Mobile Apps: An Empirical Assessment | 1-gen-2019 | Catolino, G; Di Nucci, D; Ferrucci, F | |
| DeepIaC: Deep learning-based linguistic anti-pattern detection in IaC | 1-gen-2020 | Borovits, N.; Kumara, I.; Krishnan, P.; Dalla Palma, S.; Di Nucci, D.; Palomba, F.; Tamburri, D. A.; v0an den Heuvel, W. -J. | |
| Defuse: A Data Annotator and Model Builder for Software Defect Prediction | 1-gen-2022 | Dalla Palma, S.; Di Nucci, D.; Tamburri, D. | |
| Detecting code smells using machine learning techniques: Are we there yet? | 1-gen-2018 | DI NUCCI, Dario; Palomba, Fabio; Andrew Tamburri, Damian; Serebrenik, Alexander; DE LUCIA, Andrea |