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Andrea De Lucia

Andrea De Lucia

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
80
Citations
19482
World Ranking
1102
National Ranking
13

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Andrea De Lucia is affiliated with the University of Salerno in Italy and has contributed extensively to the field of computer science, with a central focus on software engineering and related research areas. Their work spans a variety of subfields, including information systems, software development, artificial intelligence, signal processing, and computer science applications.

The scientist has published research on numerous topics, particularly within software engineering research and software reliability and analysis. Additional main themes in their research include advanced malware detection techniques, software testing and debugging methods, quantum computing algorithms and architecture, quantum information and cryptography, and cloud computing and resource management.

Andrea De Lucia's recent papers reflect attention to both empirical and theoretical issues within software engineering and software security. Notable recent publications include:

  • "A large empirical assessment of the role of data balancing in machine-learning-based code smell detection," 2020, Journal of Systems and Software
  • "The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study," 2022, IEEE Transactions on Software Engineering
  • "Just-in-time software vulnerability detection: Are we there yet?", 2022, Journal of Systems and Software
  • "Software engineering for quantum programming: How far are we?", 2022, Journal of Systems and Software
  • "Fairness-aware machine learning engineering: how far are we?", 2023, Empirical Software Engineering

Their frequent coauthors include Fabio Palomba, Fabiano Pecorelli, Filomena Ferrucci, Emanuele Iannone, and Dario Di Nucci, indicating strong collaborative ties within the software engineering research community.

Andrea De Lucia has contributed to several reputable publication venues, with multiple papers in Empirical Software Engineering, arXiv (Cornell University), Journal of Systems and Software, IEEE Transactions on Software Engineering, and ACM Transactions on Software Engineering and Methodology.

Best Publications

  • Recovering traceability links between code and documentation

    G. Antoniol;G. Canfora;G. Casazza;A. De Lucia

  • Development and evaluation of a virtual campus on Second Life: The case of SecondDMI

    Andrea De Lucia;Rita Francese;Ignazio Passero;Genoveffa Tortora

  • Recovering traceability links in software artifact management systems using information retrieval methods

    Andrea De Lucia;Fausto Fasano;Rocco Oliveto;Genoveffa Tortora

  • On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Fausto Fasano

  • How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms

    Annibale Panichella;Bogdan Dit;Rocco Oliveto;Massimilano Di Penta

  • Conditioned program slicing

    Gerardo Canfora;Aniello Cimitile;Andrea De Lucia

  • Mining Version Histories for Detecting Code Smells

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • Detecting bad smells in source code using change history information

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • When and why your code starts to smell bad

    Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

  • Detecting code smells using machine learning techniques: Are we there yet?

    Dario Di Nucci;Fabio Palomba;Damian A. Tamburri;Alexander Serebrenik

  • An experimental investigation on the innate relationship between quality and refactoring

    Gabriele Bavota;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

  • When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)

    Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto

  • On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery

    Rocco Oliveto;Malcom Gethers;Denys Poshyvanyk;Andrea De Lucia

  • User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps

    Fabio Palomba;Mario Linares-Vasquez;Gabriele Bavota;Rocco Oliveto

  • Automatic query reformulations for text retrieval in software engineering

    Sonia Haiduc;Gabriele Bavota;Andrian Marcus;Rocco Oliveto

  • Understanding function behaviors through program slicing

    A. De Lucia;A.R. Fasolino;M. Munro

  • Are test smells really harmful? An empirical study

    Gabriele Bavota;Abdallah Qusef;Rocco Oliveto;Andrea Lucia

  • When Does a Refactoring Induce Bugs? An Empirical Study

    Gabriele Bavota;Bernardino De Carluccio;Andrea De Lucia;Massimiliano Di Penta

  • Multi-objective Cross-Project Defect Prediction

    Gerardo Canfora;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

  • [Journal First] On the Diffuseness and the Impact on Maintainability of Code Smells: A Large Scale Empirical Investigation

    Fabio Palomba;Gabriele Bavota;Massimiliano Di Penta;Fausto Fasano

Frequent Co-Authors

Rocco Oliveto
Rocco Oliveto University of Molise
Fabio Palomba
Fabio Palomba University of Salerno
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana
Genoveffa Tortora
Genoveffa Tortora University of Salerno
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Denys Poshyvanyk
Denys Poshyvanyk William & Mary
Andy Zaidman
Andy Zaidman Delft University of Technology
Andrian Marcus
Andrian Marcus The University of Texas at Dallas
Gerardo Canfora
Gerardo Canfora University of Sannio
Filomena Ferrucci
Filomena Ferrucci University of Salerno

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