Dario Di Nucci

Assistant Professor

Università degli Studi di Napoli Federico II

Italy

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About

Dario Di Nucci is an Assistant Professor at Università degli Studi di Salerno, Italy. His research interests encompass machine learning, technical debt in AI-enabled systems, and quantum computing, as demonstrated in his recent publications. Noteworthy topics include the classification of machine-learning projects, the lifecycle of ML-specific code smells, and the examination of barriers to quantum computing adoption in Europe.

Articles (20)

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2025

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2022

Collaborators (10)

Camilo Velázquez-Rodríguez

Vrije Universiteit Brussel

BELGIUM

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Giuliana Vitiello

University of Salerno

ITALY

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Coen De Roover

Vrije Universiteit Brussel

BELGIUM

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Andrea De Lucia

Full Professor

University of Salerno

ITALY

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Davide Taibi

University of Tampere

FINLAND

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Fabio Palomba

Assistant Professor (Tenured)

University of Salerno

ITALY

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Damian Andrew Tamburri

Eindhoven University of Technology

NETHERLANDS

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Indika kumara

Tilburg University

NETHERLANDS

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Raula Gaikovina Kula

Associate Professor

Nara Institute of Science and Technology

JAPAN

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Stefan Driessen

Eindhoven University of Technology

NETHERLANDS

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Dario Di Nucci

Research Interests

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About

Articles (20)

Into the ML-Universe: An improved classification and characterization of machine-learning projects

When code smells meet ML: on the lifecycle of ML-specific code smells in ML-enabled systems

Acceptance and Development of Quantum Computing in the Netherlands and Germany: Barriers and Remedies From a Multistakeholder Perspective

Data Mesh: A Systematic Gray Literature Review

The quantum frontier of software engineering: A systematic mapping study

Machine learning-based test smell detection

SolAR: Automated test-suite generation for solidity smart contracts

Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture

Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories

An empirical study into the effects of transpilation on quantum circuit smells

Bayesian Meta-Analysis of Software Defect Prediction With Machine Learning

A text classification approach to API type resolution for incomplete code snippets

“Through the looking-glass …” An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications

FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code

The making of accessible Android applications: an empirical study on the state of the practice

The making of accessible Android applications: an empirical study on the state of the practice

Go serverless with RADON! A practical DevOps experience report

Software engineering for quantum programming: How far are we?

Software engineering for quantum programming: How far are we?

Special Issue on Software Health of Software Ecosystems

Collaborators (10)

Camilo Velázquez-Rodríguez

Giuliana Vitiello

Coen De Roover

Andrea De Lucia

Davide Taibi

Fabio Palomba

Damian Andrew Tamburri

Indika kumara

Raula Gaikovina Kula

Stefan Driessen

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