Sfoglia per Autore
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.
AnsibleMetrics: A Python library for measuring Infrastructure-as-Code blueprints in Ansible
2020-01-01 Dalla Palma, S.; Di Nucci, D.; Tamburri, D. A.
The Making of Accessible Android Applications: An Empirical Study on the State of the Practice
2020-01-01 Di Gregorio, M.; Di Nucci, D.; Palomba, F.; Vitiello, G.
Proceedings of the 20th edition of the BElgian-NEtherlands software eVOLution symposium
2021-01-01 Catolino, G.; Nucci, D. D.; Tamburri, D. A.
The do's and don'ts of infrastructure code: A systematic gray literature review
2021-01-01 Kumara, I.; Garriga, M.; Romeu, A. U.; Di Nucci, D.; Palomba, F.; Tamburri, D. A.; van den Heuvel, W. -J.
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.
Toward Automated Exploit Generation for Known Vulnerabilities in Open-Source Libraries
2021-01-01 Iannone, E.; Nucci, D. D.; Sabetta, A.; De Lucia, A.
WITHIN-PROJECT DEFECT PREDICTION OF INFRASTRUCTURE-AS-CODE USING PRODUCT AND PROCESS METRICS
2021-01-01 Dalla Palma, Stefano; DI NUCCI, Dario; Palomba, Fabio; Andrew Tamburri, Damian
Prioritising Server Side Reachability via Inter-process Concolic Testing
2021-01-01 Vandercammen, M.; Christophe, L.; Di Nucci, D.; De Meuter, W.; De Roover, C.
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code
2022-01-01 Borovits, N.; Kumara, I.; Di Nucci, D.; Krishnan, P.; Dalla Palma, S.; Palomba, F.; Tamburri, D. A.; van den Heuvel, W. -J.
Go serverless with RADON! A practical DevOps experience report
2022-01-01 Dalla Palma, S.; Catolino, G.; Di Nucci, D.; Tamburri, D. A.; van den Heuvel, W.
The making of accessible Android applications: an empirical study on the state of the practice
2022-01-01 Di Gregorio, Marianna; Di Nucci, Dario; Palomba, Fabio; Vitiello, Giuliana
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.
Exploiting dynamic analysis for architectural smell detection: a preliminary study
2022-01-01 Pigazzini, I.; Di Nucci, D.; Fontana, F. A.; Belotti, M.
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.
Towards Quantum-algorithms-as-a-service
2022-01-01 De Stefano, M.; Di Nucci, D.; Palomba, F.; Taibi, D.; De Lucia, A.
Software engineering for quantum programming: How far are we?
2022-01-01 De Stefano, M.; Pecorelli, F.; Di Nucci, D.; Palomba, F.; De Lucia, A.
Defuse: A Data Annotator and Model Builder for Software Defect Prediction
2022-01-01 Dalla Palma, S.; Di Nucci, D.; Tamburri, D.
Special Issue on Software Health of Software Ecosystems
2022-01-01 Constantinou, E.; Di Nucci, D.; Gaikovina Kula, R.; Rocha, H.
Bayesian Meta-Analysis of Software Defect Prediction With Machine Learning
2023-01-01 Mohammadi, Majid; DI NUCCI, Dario; Tamburri, Damian A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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. | |
| AnsibleMetrics: A Python library for measuring Infrastructure-as-Code blueprints in Ansible | 1-gen-2020 | Dalla Palma, S.; Di Nucci, D.; Tamburri, D. A. | |
| The Making of Accessible Android Applications: An Empirical Study on the State of the Practice | 1-gen-2020 | Di Gregorio, M.; Di Nucci, D.; Palomba, F.; Vitiello, G. | |
| Proceedings of the 20th edition of the BElgian-NEtherlands software eVOLution symposium | 1-gen-2021 | Catolino, G.; Nucci, D. D.; Tamburri, D. A. | |
| The do's and don'ts of infrastructure code: A systematic gray literature review | 1-gen-2021 | Kumara, I.; Garriga, M.; Romeu, A. U.; Di Nucci, D.; Palomba, F.; Tamburri, D. A.; van den Heuvel, W. -J. | |
| 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. | |
| Toward Automated Exploit Generation for Known Vulnerabilities in Open-Source Libraries | 1-gen-2021 | Iannone, E.; Nucci, D. D.; Sabetta, A.; De Lucia, A. | |
| WITHIN-PROJECT DEFECT PREDICTION OF INFRASTRUCTURE-AS-CODE USING PRODUCT AND PROCESS METRICS | 1-gen-2021 | Dalla Palma, Stefano; DI NUCCI, Dario; Palomba, Fabio; Andrew Tamburri, Damian | |
| Prioritising Server Side Reachability via Inter-process Concolic Testing | 1-gen-2021 | Vandercammen, M.; Christophe, L.; Di Nucci, D.; De Meuter, W.; De Roover, C. | |
| FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code | 1-gen-2022 | Borovits, N.; Kumara, I.; Di Nucci, D.; Krishnan, P.; Dalla Palma, S.; Palomba, F.; Tamburri, D. A.; van den Heuvel, W. -J. | |
| Go serverless with RADON! A practical DevOps experience report | 1-gen-2022 | Dalla Palma, S.; Catolino, G.; Di Nucci, D.; Tamburri, D. A.; van den Heuvel, W. | |
| The making of accessible Android applications: an empirical study on the state of the practice | 1-gen-2022 | Di Gregorio, Marianna; Di Nucci, Dario; Palomba, Fabio; Vitiello, Giuliana | |
| 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. | |
| Exploiting dynamic analysis for architectural smell detection: a preliminary study | 1-gen-2022 | Pigazzini, I.; Di Nucci, D.; Fontana, F. A.; Belotti, M. | |
| 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. | |
| Towards Quantum-algorithms-as-a-service | 1-gen-2022 | De Stefano, M.; Di Nucci, D.; Palomba, F.; Taibi, D.; De Lucia, A. | |
| Software engineering for quantum programming: How far are we? | 1-gen-2022 | De Stefano, M.; Pecorelli, F.; Di Nucci, D.; Palomba, F.; De Lucia, A. | |
| Defuse: A Data Annotator and Model Builder for Software Defect Prediction | 1-gen-2022 | Dalla Palma, S.; Di Nucci, D.; Tamburri, D. | |
| Special Issue on Software Health of Software Ecosystems | 1-gen-2022 | Constantinou, E.; Di Nucci, D.; Gaikovina Kula, R.; Rocha, H. | |
| Bayesian Meta-Analysis of Software Defect Prediction With Machine Learning | 1-gen-2023 | Mohammadi, Majid; DI NUCCI, Dario; Tamburri, Damian A. |
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