DI NUCCI, DARIO

DI NUCCI, DARIO  

Dipartimento di Informatica/DI  

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Risultati 1 - 20 di 55 (tempo di esecuzione: 0.017 secondi).
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
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.
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.
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
DevOps and Quality Management in Serverless Computing: The RADON Approach 1-gen-2020 Dalla Palma, S.; Garriga, M; Di Nucci, D.; Tamburri, D. A.; van den Heuvel, W. -J.
Do developers update third-party libraries in mobile apps? 1-gen-2018 Salza, Pasquale; Palomba, Fabio; DI NUCCI, Dario; D'Uva, Cosmo; DE LUCIA, Andrea; Ferrucci, Filomena
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method 1-gen-2017 DI NUCCI, Dario; Palomba, Fabio; Oliveto, Rocco; De Lucia, Andrea