Dario Di Nucci

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 84

Top Topics

Machine Learning

Literature Review

Automatically Generate

Mining Patterns

Top Venues

Empir. Softw. Eng.

J. Syst. Softw.

Publications

Ipek Ustunboyacioglu, Indika Kumara, Dario Di Nucci, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Data Quality Assessment in the Wild: Findings from GitHub. EASE (2024)
Davide La Gamba, Gerardo Iuliano, Gilberto Recupito, Giammaria Giordano, Filomena Ferrucci, Dario Di Nucci, Fabio Palomba
Toward a Search-Based Approach to Support the Design of Security Tests for Malicious Network Traffic. EASE (2024)
Stefan W. Driessen, Dario Di Nucci, Damian A. Tamburri, Willem-Jan van den Heuvel
SolAR: Automated test-suite generation for solidity smart contracts. Sci. Comput. Program. 232 (2024)
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
The quantum frontier of software engineering: A systematic mapping study. Inf. Softw. Technol. 175 (2024)
Stefano Dalla Palma, Chiel van Asseldonk, Gemma Catolino, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri
"Through the looking-glass ..." An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications. J. Softw. Evol. Process. 36 (4) (2024)
Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba
Machine learning-based test smell detection. Empir. Softw. Eng. 29 (2) (2024)
Gilberto Recupito, Giammaria Giordano, Filomena Ferrucci, Dario Di Nucci, Fabio Palomba
When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems. CoRR (2024)
Tom van Eijk, Indika Kumara, Dario Di Nucci, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Architectural Design Decisions for Self-Serve Data Platforms in Data Meshes. ICSA (2024)
Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
An empirical study into the effects of transpilation on quantum circuit smells. Empir. Softw. Eng. 29 (3) (2024)
Therese Fehrer, Rocío Cabrera Lozoya, Antonino Sabetta, Dario Di Nucci, Damian A. Tamburri
Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers. EASE (2024)
Gilberto Recupito, Raimondo Rapacciuolo, Dario Di Nucci, Fabio Palomba
Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality. CAIN (2024)
Tom van Eijk, Indika Kumara, Dario Di Nucci, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Architectural Design Decisions for Self-Serve Data Platforms in Data Meshes. CoRR (2024)
Daan Hommersom, Antonino Sabetta, Bonaventura Coppola, Dario Di Nucci, Damian A. Tamburri
Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories. ACM Trans. Softw. Eng. Methodol. 33 (5) (2024)
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
The Quantum Frontier of Software Engineering: A Systematic Mapping Study. CoRR (2023)
Camilo Velázquez-Rodríguez, Dario Di Nucci, Coen De Roover
A text classification approach to API type resolution for incomplete code snippets. Sci. Comput. Program. 227 (2023)
Francesco Basciani, Vittorio Cortellessa, Sergio DiMartino, Dario Di Nucci, Daniele Di Pompeo, Carmine Gravino, Luigi Libero Lucio Starace
ADAS Verification in Co-Simulation: Towards a Meta-Model for Defining Test Scenarios. ICSTW (2023)
Abel Goedegebuure, Indika Kumara, Stefan Driessen, Dario Di Nucci, Geert Monsieur, Willem-Jan van den Heuvel, Damian Andrew Tamburri
Data Mesh: a Systematic Gray Literature Review. CoRR (2023)
Stefano Dalla Palma, Gemma Catolino, Dario Di Nucci, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Go Serverless With RADON! A Practical DevOps Experience Report. IEEE Softw. 40 (2) (2023)
Umberto Bilotti, Dario Di Nucci, Fabio Palomba, Carmine Gravino, Maurizio Sibilio
Machine Learning for Educational Metaverse: How Far Are We? ICCE (2023)
Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Davide Taibi, Andrea De Lucia
Towards Quantum-algorithms-as-a-service. QP4SE@ESEC/SIGSOFT FSE (2022)
Eleni Constantinou, Dario Di Nucci, Raula Gaikovina Kula, Henrique Rocha
Special Issue on Software Health of Software Ecosystems. Sci. Comput. Program. 218 (2022)
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
Software engineering for quantum programming: How far are we? J. Syst. Softw. 190 (2022)
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
Software Engineering for Quantum Programming: How Far Are We? CoRR (2022)
Marianna Di Gregorio, Dario Di Nucci, Fabio Palomba, Giuliana Vitiello
The making of accessible Android applications: an empirical study on the state of the practice. Empir. Softw. Eng. 27 (6) (2022)
Ilaria Pigazzini, Dario Di Nucci, Francesca Arcelli Fontana, Marco Belotti
Exploiting dynamic analysis for architectural smell detection: a preliminary study. SEAA (2022)
Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri
Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics. IEEE Trans. Software Eng. 48 (6) (2022)
Gilberto Recupito, Fabiano Pecorelli, Gemma Catolino, Sergio Moreschini, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri
A Multivocal Literature Review of MLOps Tools and Features. SEAA (2022)
Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba
Machine Learning-Based Test Smell Detection. CoRR (2022)
Nemania Borovits, Indika Kumara, Dario Di Nucci, Parvathy Krishnan, Stefano Dalla Palma, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code. Empir. Softw. Eng. 27 (7) (2022)
Stefano Dalla Palma, Dario Di Nucci, Damian A. Tamburri
Defuse: A Data Annotator and Model Builder for Software Defect Prediction. ICSME (2022)
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia
A preliminary evaluation on the relationship among architectural and test smells. SCAM (2022)
Emanuele Iannone, Dario Di Nucci, Antonino Sabetta, Andrea De Lucia
Toward Automated Exploit Generation for Known Vulnerabilities in Open-Source Libraries. ICPC (2021)
Fabiano Pecorelli, Dario Di Nucci
Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study. Sci. Comput. Program. 205 (2021)
Stefano Dalla Palma, Dario Di Nucci, Damian A. Tamburri
RepoMiner: a Language-agnostic Python Framework to Mine Software Repositories for Defect Prediction. CoRR (2021)
Indika Kumara, Martin Garriga, Angel Urbano Romeu, Dario Di Nucci, Fabio Palomba, Damian Andrew Tamburri, Willem-Jan van den Heuvel
The do's and don'ts of infrastructure code: A systematic gray literature review. Inf. Softw. Technol. 137 (2021)
Stefan Driessen, Dario Di Nucci, Geert Monsieur, Willem-Jan van den Heuvel
AGSolT: a Tool for Automated Test-Case Generation for Solidity Smart Contracts. CoRR (2021)
Therese Fehrer, Rocío Cabrera Lozoya, Antonino Sabetta, Dario Di Nucci, Damian A. Tamburri
Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers. CoRR (2021)
Maarten Vandercammen, Laurent Christophe, Dario Di Nucci, Wolfgang De Meuter, Coen De Roover
Prioritising Server Bugs via Inter-process Concolic Testing. Art Sci. Eng. Program. 5 (2) (2021)
Emanuele Iannone, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
Refactoring Android-specific Energy Smells: A Plugin for Android Studio. ICPC (2020)
Jonas De Bleser, Dario Di Nucci, Coen De Roover
A Delta-Debugging Approach to Assessing the Resilience of Actor Programs through Run-time Test Perturbations. AST@ICSE (2020)
Giuseppe Cascavilla, Johann Slabber, Fabio Palomba, Dario Di Nucci, Damian A. Tamburri, Willem-Jan van den Heuvel
Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach. AVI (2020)
Stefano Dalla Palma, Majid Mohammadi, Dario Di Nucci, Damian A. Tamburri
Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-code. MaLTeSQuE@ESEC/SIGSOFT FSE (2020)
Maarten Vandercammen, Laurent Christophe, Dario Di Nucci, Wolfgang De Meuter, Coen De Roover
Prioritising Server Bugs via Inter-process Concolic Testing. CoRR (2020)
Marianna Di Gregorio, Dario Di Nucci, Fabio Palomba, Giuliana Vitiello
The Making of Accessible Android Applications: An Empirical Study on the State of the Practice. ICSME (2020)
Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri
Towards a Catalogue of Software Quality Metrics for Infrastructure Code. CoRR (2020)
Nemania Borovits, Indika Kumara, Parvathy Krishnan, Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel
DeepIaC: Deep Learning-Based Linguistic Anti-pattern Detection in IaC. CoRR (2020)
Nemania Borovits, Indika Kumara, Parvathy Krishnan, Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel
DeepIaC: deep learning-based linguistic anti-pattern detection in IaC. MaLTeSQuE@ESEC/SIGSOFT FSE (2020)
Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian Andrew Tamburri
Toward a catalog of software quality metrics for infrastructure code. J. Syst. Softw. 170 (2020)
Stefano Dalla Palma, Dario Di Nucci, Damian A. Tamburri
AnsibleMetrics: A Python library for measuring Infrastructure-as-Code blueprints in Ansible. SoftwareX 12 (2020)
Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia
A large empirical assessment of the role of data balancing in machine-learning-based code smell detection. J. Syst. Softw. 169 (2020)
Pasquale Salza, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, Filomena Ferrucci
Third-party libraries in mobile apps. Empir. Softw. Eng. 25 (3) (2020)
Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia
A Test Case Prioritization Genetic Algorithm Guided by the Hypervolume Indicator. IEEE Trans. Software Eng. 46 (6) (2020)
Stefano Dalla Palma, Martin Garriga, Dario Di Nucci, Damian Andrew Tamburri, Willem-Jan van den Heuvel
DevOps and Quality Management in Serverless Computing: The RADON Approach. ESOCC Workshops (2020)
Jonas De Bleser, Dario Di Nucci, Coen De Roover
SoCRATES: Scala radar for test smells. SCALA@ECOOP (2019)
Jonas De Bleser, Dario Di Nucci, Coen De Roover
Assessing diffusion and perception of test smells in scala projects. MSR (2019)
Fabio Palomba, Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia
On the impact of code smells on the energy consumption of mobile applications. Inf. Softw. Technol. 105 (2019)
Hoang-Son Pham, Siegfried Nijssen, Kim Mens, Dario Di Nucci, Tim Molderez, Coen De Roover, Johan Fabry, Vadim Zaytsev
Mining Patterns in Source Code Using Tree Mining Algorithms. DS (2019)
Giovanni Grano, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, Harald C. Gall
Scented since the beginning: On the diffuseness of test smells in automatically generated test code. J. Syst. Softw. 156 (2019)
Gemma Catolino, Dario Di Nucci, Filomena Ferrucci
Cross-project just-in-time bug prediction for mobile apps: an empirical assessment. MOBILESoft@ICSE (2019)
Dario Di Nucci, Hoang-Son Pham, Johan Fabry, Coen De Roover, Kim Mens, Tim Molderez, Siegfried Nijssen, Vadim Zaytsev
A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns. SATToSE (2019)
Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia
On the role of data balancing for machine learning-based code smell detection. MaLTeSQuE@ESEC/SIGSOFT FSE (2019)
Fabiano Pecorelli, Fabio Palomba, Dario Di Nucci, Andrea De Lucia
Comparing heuristic and machine learning approaches for metric-based code smell detection. ICPC (2019)
Yunior Pacheco, Jonas De Bleser, Tim Molderez, Dario Di Nucci, Wolfgang De Meuter, Coen De Roover
Mining Scala Framework Extensions for Recommendation Patterns. SANER (2019)
Damian Andrew Tamburri, Dario Di Nucci, Lucio Di Giacomo, Fabio Palomba
Omniscient DevOps Analytics. DEVOPS (2018)
Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Andrea De Lucia
Detecting code smells using machine learning techniques: Are we there yet? SANER (2018)
Dario Di Nucci, Fabio Palomba, Giuseppe De Rosa, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia
A Developer Centered Bug Prediction Model. IEEE Trans. Software Eng. 44 (1) (2018)
Dario Di Nucci, Fabio Palomba, Andrea De Lucia
Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction. RAISE@ICSE (2018)
Franz-Xaver Geiger, Ivano Malavolta, Luca Pascarella, Fabio Palomba, Dario Di Nucci, Alberto Bacchelli
A graph-based dataset of commit history of real-world Android apps. MSR (2018)
Luca Pascarella, Franz-Xaver Geiger, Fabio Palomba, Dario Di Nucci, Ivano Malavolta, Alberto Bacchelli
Self-reported activities of Android developers. MOBILESoft@ICSE (2018)
Simone Scalabrino, Giovanni Grano, Dario Di Nucci, Michele Guerra, Andrea De Lucia, Harald C. Gall, Rocco Oliveto
OCELOT: a search-based test-data generation tool for C. ASE (2018)
Yunior Pacheco, Jonas De Bleser, Tim Molderez, Dario Di Nucci, Wolfgang De Meuter, Coen De Roover
Mining Extension Point Patterns in Scala. BENEVOL (2018)
Dario Di Nucci, Andrea De Lucia
The role of meta-learners in the adaptive selection of classifiers. MaLTeSQuE@SANER (2018)
Dario Di Nucci
Methods and Tools for Focusing and Prioritizing the Testing Effort. ICSME (2018)
Pasquale Salza, Fabio Palomba, Dario Di Nucci, Cosmo D'Uva, Andrea De Lucia, Filomena Ferrucci
Do developers update third-party libraries in mobile apps? ICPC (2018)
Dario Di Nucci, Fabio Palomba, Antonio Prota, Annibale Panichella, Andy Zaidman, Andrea De Lucia
PETrA: a software-based tool for estimating the energy profile of Android applications. ICSE (Companion Volume) (2017)
Dario Di Nucci, Fabio Palomba, Antonio Prota, Annibale Panichella, Andy Zaidman, Andrea De Lucia
Software-based energy profiling of Android apps: Simple, efficient and reliable? SANER (2017)
Fabio Palomba, Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia
Lightweight detection of Android-specific code smells: The aDoctor project. SANER (2017)
Dario Di Nucci, Fabio Palomba, Rocco Oliveto, Andrea De Lucia
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method. IEEE Trans. Emerg. Top. Comput. Intell. 1 (3) (2017)
Simone Scalabrino, Giovanni Grano, Dario Di Nucci, Rocco Oliveto, Andrea De Lucia
Search-Based Testing of Procedural Programs: Iterative Single-Target or Multi-target Approach? SSBSE (2016)
Fabio Palomba, Dario Di Nucci, Annibale Panichella, Rocco Oliveto, Andrea De Lucia
On the diffusion of test smells in automatically generated test code: an empirical study. SBST@ICSE (2016)
Dario Di Nucci, Fabio Palomba, Sandro Siravo, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia
On the role of developer's scattered changes in bug prediction. ICSME (2015)
Fabio Palomba, Dario Di Nucci, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia
Landfill: An Open Dataset of Code Smells with Public Evaluation. MSR (2015)
Dario Di Nucci
ICSE 2015 SIGSOFT CAPS Report. ACM SIGSOFT Softw. Eng. Notes 40 (4) (2015)
Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia
Hypervolume-Based Search for Test Case Prioritization. SSBSE (2015)