Andrea De Lucia

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 84

Top Venues

Empir. Softw. Eng.

IEEE Trans. Software Eng.

ICPC

J. Syst. Softw.

Publications

Carmine Ferrara, Francesco Casillo, Carmine Gravino, Andrea De Lucia, Fabio Palomba
ReFAIR: Toward a Context-Aware Recommender for Fairness Requirements Engineering. ICSE (2024)
Carmine Ferrara, Giulia Sellitto, Filomena Ferrucci, Fabio Palomba, Andrea De Lucia
Fairness-aware machine learning engineering: how far are we? Empir. Softw. Eng. 29 (1) (2024)
Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia
Toward granular search-based automatic unit test case generation. Empir. Softw. Eng. 29 (4) (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)
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)
Emanuele Iannone, Giulia Sellitto, Emanuele Iaccarino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba
Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be? ACM Trans. Softw. Eng. Methodol. 33 (6) (2024)
Giusy Annunziata, Alexandra Sheykina, Fabio Palomba, Andrea De Lucia, Gemma Catolino, Filomena Ferrucci
Security Risk Assessment on Cloud: A Systematic Mapping Study. EASE (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)
Giammaria Giordano, Giusy Annunziata, Andrea De Lucia, Fabio Palomba
Understanding Developer Practices and Code Smells Diffusion in AI-Enabled Software: A Preliminary Study. IWSM-Mensura (2023)
Giulia Sellitto, Alexandra Sheykina, Fabio Palomba, Andrea De Lucia
An Empirical Study on the Performance of Vulnerability Prediction Models Evaluated Applying Real-world Labelling. IWSM-Mensura (2023)
Emanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, Andrea De Lucia, Fabio Palomba
Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security. Empir. Softw. Eng. 28 (4) (2023)
Emanuele Iannone, Roberta Guadagni, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba
The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study. IEEE Trans. Software Eng. 49 (1) (2023)
Giulia Sellitto, Emanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, Andrea De Lucia, Fabio Palomba, Filomena Ferrucci
Toward Understanding the Impact of Refactoring on Program Comprehension. SANER (2022)
Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Davide Taibi, Andrea De Lucia
Towards Quantum-algorithms-as-a-service. QP4SE@ESEC/SIGSOFT FSE (2022)
Emanuele Iannone, Manuel De Stefano, Fabiano Pecorelli, Andrea De Lucia
Predicting The Energy Consumption Level of Java Classes in Android Apps: An Exploratory Analysis. MOBILESoft (2022)
Abdul Razzaq, Anthony Ventresque, Rainer Koschke, Andrea De Lucia, Jim Buckley
The Effect of Feature Characteristics on the Performance of Feature Location Techniques. IEEE Trans. Software Eng. 48 (6) (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)
Francesco Lomio, Emanuele Iannone, Andrea De Lucia, Fabio Palomba, Valentina Lenarduzzi
Just-in-time software vulnerability detection: Are we there yet? J. Syst. Softw. 188 (2022)
Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba
Software testing and Android applications: a large-scale empirical study. Empir. Softw. Eng. 27 (2) (2022)
Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia
Toward Granular Automatic Unit Test Case Generation. CoRR (2022)
Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, Fabio Palomba, Andrea De Lucia
On the adequacy of static analysis warnings with respect to code smell prediction. Empir. Softw. Eng. 27 (3) (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)
Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia
Comparing within- and cross-project machine learning algorithms for code smell detection. MaLTeSQuE@ESEC/SIGSOFT FSE (2021)
Andrea De Lucia, Mohammad Reza Mousavi
Update from the Editorial Team. Sci. Comput. Program. 212 (2021)
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, Fabio Palomba, Andrea De Lucia
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems. Empir. Softw. Eng. 26 (2) (2021)
Elder Vicente de Paulo Sobrinho, Andrea De Lucia, Marcelo de Almeida Maia
A Systematic Literature Review on Bad Smells-5 W's: Which, When, What, Who, Where. IEEE Trans. Software Eng. 47 (1) (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)
Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci
Improving change prediction models with code smell-related information. Empir. Softw. Eng. 25 (1) (2020)
Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba
Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps. ICPC (2020)
Savanna Lujan, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia, Valentina Lenarduzzi
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction. MaLTeSQuE@ESEC/SIGSOFT FSE (2020)
Fabiano Pecorelli, Gianluca Di Lillo, Fabio Palomba, Andrea De Lucia
VITRuM: A Plug-In for the Visualization of Test-Related Metrics. AVI (2020)
Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia
Splicing Community Patterns and Smells: A Preliminary Study. ICSE (Workshops) (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)
Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia
Developer-Driven Code Smell Prioritization. MSR (2020)
Manuel De Stefano, Michele Simone Gambardella, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia
cASpER: A Plug-in for Automated Code Smell Detection and Refactoring. AVI (2020)
Stefano Lambiase, Andrea Cupito, Fabiano Pecorelli, Andrea De Lucia, Fabio Palomba
Just-In-Time Test Smell Detection and Refactoring: The DARTS Project. ICPC (2020)
Rocco Oliveto, Malcom Gethers, Denys Poshyvanyk, Andrea De Lucia
On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery: A Ten-Year Retrospective. ICPC (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)
Manuel De Stefano, Fabiano Pecorelli, Damian Andrew Tamburri, Fabio Palomba, Andrea De Lucia
Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence. ICSME (2020)
Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci
Improving Change Prediction Models with Code Smell-Related Information. CoRR (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)
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)
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)
Fabio Palomba, Marco Zanoni, Francesca Arcelli Fontana, Andrea De Lucia, Rocco Oliveto
Toward a Smell-Aware Bug Prediction Model. IEEE Trans. Software Eng. 45 (2) (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)
Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation. ICSE (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)
Gemma Catolino, Fabio Palomba, Andrea De Lucia, Filomena Ferrucci, Andy Zaidman
Enhancing change prediction models using developer-related factors. J. Syst. Softw. 143 (2018)
Dario Di Nucci, Fabio Palomba, Andrea De Lucia
Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction. RAISE@ICSE (2018)
Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi
Dealing with Design Pattern Variants in Reverse Engineering: An Exploratory Study. QUATIC (2018)
Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia
A large-scale empirical study on the lifecycle of code smell co-occurrences. Inf. Softw. Technol. 99 (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)
Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi
Detecting the Behavior of Design Patterns through Model Checking and Dynamic Analysis. ACM Trans. Softw. Eng. Methodol. 26 (4) (2018)
Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia
The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells. IEEE Trans. Software Eng. 44 (10) (2018)
Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi
Impact of Design Pattern Implementation Variants on the Retrieval Effectiveness of a Recovery Tool: An Exploratory Study. SEAA (2018)
Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation. Empir. Softw. Eng. 23 (3) (2018)
Dario Di Nucci, Andrea De Lucia
The role of meta-learners in the adaptive selection of classifiers. MaLTeSQuE@SANER (2018)
Fabio Palomba, Andy Zaidman, Andrea De Lucia
Automatic Test Smell Detection Using Information Retrieval Techniques. 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)
Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia
The scent of a smell: an extensive comparison between textual and structural smells. ICSE (2018)
Fabio Palomba, Mario Linares Vásquez, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia
Crowdsourcing user reviews to support the evolution of mobile apps. J. Syst. Softw. 137 (2018)
Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk
There and back again: Can you compile that snapshot? J. Softw. Evol. Process. 29 (4) (2017)
Chris Mills, Gabriele Bavota, Sonia Haiduc, Rocco Oliveto, Andrian Marcus, Andrea De Lucia
Predicting Query Quality for Applications of Text Retrieval to Software Engineering Tasks. ACM Trans. Softw. Eng. Methodol. 26 (1) (2017)
Fabio Palomba, Rocco Oliveto, Andrea De Lucia
Investigating code smell co-occurrences using association rule learning: A replicated study. MaLTeSQuE@SANER (2017)
Fabio Palomba, Pasquale Salza, Adelina Ciurumelea, Sebastiano Panichella, Harald C. Gall, Filomena Ferrucci, Andrea De Lucia
Recommending and localizing change requests for mobile apps based on user reviews. ICSE (2017)
Gemma Catolino, Fabio Palomba, Andrea De Lucia, Filomena Ferrucci, Andy Zaidman
Developer-related factors in change prediction: an empirical assessment. ICPC (2017)
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)
Michele Tufano, Gabriele Bavota, Denys Poshyvanyk, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia
An empirical study on developer-related factors characterizing fix-inducing commits. J. Softw. Evol. Process. 29 (1) (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)
Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away). IEEE Trans. Software Eng. 43 (11) (2017)
Fabio Palomba, Andy Zaidman, Rocco Oliveto, Andrea De Lucia
An exploratory study on the relationship between changes and refactoring. ICPC (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)
Annibale Panichella, Bogdan Dit, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia
Parameterizing and Assembling IR-Based Solutions for SE Tasks Using Genetic Algorithms. SANER (2016)
Fabio Palomba, Annibale Panichella, Andrea De Lucia, Rocco Oliveto, Andy Zaidman
A textual-based technique for Smell Detection. ICPC (2016)
Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk
An empirical investigation into the nature of test smells. ASE (2016)
Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia
Automatic test case generation: what if test code quality matters? ISSTA (2016)
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)
Fabio Palomba, Marco Zanoni, Francesca Arcelli Fontana, Andrea De Lucia, Rocco Oliveto
Smells Like Teen Spirit: Improving Bug Prediction Performance Using the Intensity of Code Smells. ICSME (2016)
Gerardo Canfora, Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Annibale Panichella, Sebastiano Panichella
Defect prediction as a multiobjective optimization problem. Softw. Test. Verification Reliab. 25 (4) (2015)
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)
Gabriele Bavota, Abdallah Qusef, Rocco Oliveto, Andrea De Lucia, Dave W. Binkley
Are test smells really harmful? An empirical study. Empir. Softw. Eng. 20 (4) (2015)
Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia
Mining Version Histories for Detecting Code Smells. IEEE Trans. Software Eng. 41 (5) (2015)
Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi
Towards automating dynamic analysis for behavioral design pattern detection. ICSME (2015)
Annibale Panichella, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia
Improving Multi-Objective Test Case Selection by Injecting Diversity in Genetic Algorithms. IEEE Trans. Software Eng. 41 (4) (2015)
Annibale Panichella, Andrea De Lucia, Andy Zaidman
Adaptive User Feedback for IR-Based Traceability Recovery. SST@ICSE (2015)
Fabio Palomba, Andrea De Lucia, Gabriele Bavota, Rocco Oliveto
Anti-Pattern Detection: Methods, Challenges, and Open Issues. Adv. Comput. 95 (2015)
Andrea De Lucia, Vincenzo Deufemia, Carmine Gravino, Michele Risi, Ciro Pirolli
ePadEvo: A tool for the detection of behavioral design patterns. ICSME (2015)
Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia
Extract Package Refactoring in ARIES. ICSE (2) (2015)
Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia
Hypervolume-Based Search for Test Case Prioritization. SSBSE (2015)
Gabriele Bavota, Carmine Gravino, Rocco Oliveto, Andrea De Lucia, Genoveffa Tortora, Marcela Genero, José A. Cruz-Lemus
A fine-grained analysis of the support provided by UML class diagrams and ER diagrams during data model maintenance. Softw. Syst. Model. 14 (1) (2015)
Fabio Palomba, Mario Linares Vásquez, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia
User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps. ICSME (2015)
Gabriele Bavota, Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Fabio Palomba
An experimental investigation on the innate relationship between quality and refactoring. J. Syst. Softw. 107 (2015)
Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk
When and Why Your Code Starts to Smell Bad. ICSE (1) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrea De Lucia