Comparing heuristic and machine learning approaches for metric-based code smell detection. - Fabiano Pecorelli; Fabio Palomba; Dario Di Nucci; Andrea De Lucia (ICPC, 2019)

Test-related factors and post-release defects: an empirical study. - Fabiano Pecorelli (ESEC/SIGSOFT FSE, 2019)

On the role of data balancing for machine learning-based code smell detection. - Fabiano Pecorelli; Dario Di Nucci; Coen De Roover; Andrea De Lucia (MaLTeSQuE@ESEC/SIGSOFT FSE, 2019)

VITRuM: A Plug-In for the Visualization of Test-Related Metrics. - Fabiano Pecorelli; Gianluca Di Lillo; Fabio Palomba; Andrea De Lucia (AVI, 2020)

cASpER: A Plug-in for Automated Code Smell Detection and Refactoring. - Manuel De Stefano; Michele Simone Gambardella; Fabiano Pecorelli; Fabio Palomba; Andrea De Lucia (AVI, 2020)

Splicing Community Patterns and Smells: A Preliminary Study. - Manuel De Stefano; Fabiano Pecorelli; Damian A. Tamburri; Fabio Palomba; Andrea De Lucia (ICSE (Workshops), 2020)

Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence. - Manuel De Stefano; Fabiano Pecorelli; Damian Andrew Tamburri; Fabio Palomba; Andrea De Lucia (ICSME, 2020)

Refactoring Android-specific Energy Smells: A Plugin for Android Studio. - Emanuele Iannone; Fabiano Pecorelli; Dario Di Nucci; Fabio Palomba; Andrea De Lucia (ICPC, 2020)

Just-In-Time Test Smell Detection and Refactoring: The DARTS Project. - Stefano Lambiase; Andrea Cupito; Fabiano Pecorelli; Andrea De Lucia; Fabio Palomba (ICPC, 2020)

Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps. - Fabiano Pecorelli; Gemma Catolino; Filomena Ferrucci; Andrea De Lucia; Fabio Palomba (ICPC, 2020)

Developer-Driven Code Smell Prioritization. - Fabiano Pecorelli; Fabio Palomba; Foutse Khomh; Andrea De Lucia (MSR, 2020)

A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction. - Savanna Lujan; Fabiano Pecorelli; Fabio Palomba; Andrea De Lucia; Valentina Lenarduzzi (MaLTeSQuE@ESEC/SIGSOFT FSE, 2020)

A large empirical assessment of the role of data balancing in machine-learning-based code smell detection. - Fabiano Pecorelli; Dario Di Nucci; Coen De Roover; Andrea De Lucia (J. Syst. Softw., 2020)

Comparing within- and cross-project machine learning algorithms for code smell detection. - Manuel De Stefano; Fabiano Pecorelli; Fabio Palomba; Andrea De Lucia (MaLTeSQuE@ESEC/SIGSOFT FSE, 2021)

The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems. - Fabiano Pecorelli; Fabio Palomba; Andrea De Lucia (Empir. Softw. Eng., 2021)

Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study. - Fabiano Pecorelli; Dario Di Nucci (Sci. Comput. Program., 2021)

Cognitive Cloud: The Definition. - Sergio Moreschini; Fabiano Pecorelli; Xiaozhou Li 002; Sonia Naz; Michele Albano; David Hästbacka; Davide Taibi 001 (DCAI (1), 2022)

"There and Back Again?" On the Influence of Software Community Dispersion Over Productivity. - Stefano Lambiase; Gemma Catolino; Fabiano Pecorelli; Damian A. Tamburri; Fabio Palomba; Willem-Jan van den Heuvel; Filomena Ferrucci (SEAA, 2022)

A Multivocal Literature Review of MLOps Tools and Features. - Gilberto Recupito; Fabiano Pecorelli; Gemma Catolino; Sergio Moreschini; Dario Di Nucci; Fabio Palomba; Damian A. Tamburri (SEAA, 2022)

CATTO: Just-in-time Test Case Selection and Execution. - Dario Amoroso d'Aragona; Fabiano Pecorelli; Simone Romano 001; Giuseppe Scanniello; Maria Teresa Baldassarre; Andrea Janes; Valentina Lenarduzzi (ICSME, 2022)

Predicting The Energy Consumption Level of Java Classes in Android Apps: An Exploratory Analysis. - Emanuele Iannone; Manuel De Stefano; Fabiano Pecorelli; Andrea De Lucia (MOBILESoft, 2022)

A preliminary evaluation on the relationship among architectural and test smells. - Manuel De Stefano; Fabiano Pecorelli; Dario Di Nucci; Andrea De Lucia (SCAM, 2022)

PANDORA: Continuous Mining Software Repository and Dataset Generation. - Hung Nguyen; Francesco Lomio; Fabiano Pecorelli; Valentina Lenarduzzi (SANER, 2022)

Cloud Continuum: The Definition. - Sergio Moreschini; Fabiano Pecorelli; Xiaozhou Li 002; Sonia Naz; David Hästbacka; Davide Taibi 001 (IEEE Access, 2022)

Toward Granular Automatic Unit Test Case Generation. - Fabiano Pecorelli; Giovanni Grano; Fabio Palomba; Harald C. Gall; Andrea De Lucia (CoRR, 2022)

Software testing and Android applications: a large-scale empirical study. - Fabiano Pecorelli; Gemma Catolino; Filomena Ferrucci; Andrea De Lucia; Fabio Palomba (Empir. Softw. Eng., 2022)

On the adequacy of static analysis warnings with respect to code smell prediction. - Fabiano Pecorelli; Savanna Lujan; Valentina Lenarduzzi; Fabio Palomba; Andrea De Lucia (Empir. Softw. Eng., 2022)

Software engineering for quantum programming: How far are we? - Manuel De Stefano; Fabiano Pecorelli; Dario Di Nucci; Fabio Palomba; Andrea De Lucia (J. Syst. Softw., 2022)

Impacts of software community patterns on process and product: An empirical study. - Manuel De Stefano; Emanuele Iannone; Fabiano Pecorelli; Damian Andrew Tamburri (Sci. Comput. Program., 2022)

OSSARA: Abandonment Risk Assessment for Embedded Open Source Components. - Xiaozhou Li 002; Sergio Moreschini; Fabiano Pecorelli; Davide Taibi 001 (IEEE Softw., 2022)

Architecting MLOps in the Cloud: From Theory to Practice. - Indika Kumara; Fabiano Pecorelli; Gemma Catolino; Rick Kazman; Damian Andrew Tamburri; Willem-Jan van den Heuvel (ICSA-C, 2023)

Resolving Security Issues via Quality-Oriented Refactoring: A User Study. - Domenico Gigante; Fabiano Pecorelli; Vita Santa Barletta; Andrea Janes; Valentina Lenarduzzi; Davide Taibi 001; Maria Teresa Baldassarre (TechDebt@ICSE, 2023)

Technical Debt Diffuseness in the Apache Ecosystem: A Differentiated Replication. - Dario Amoroso d'Aragona; Fabiano Pecorelli; Maria Teresa Baldassarre; Davide Taibi 001; Valentina Lenarduzzi (SANER, 2023)

AI Techniques in the Microservices Life-Cycle: A Survey. - Sergio Moreschini; Shahrzad Pour; Ivan Lanese; Daniel Balouek-Thomert; Justus Bogner; Xiaozhou Li 002; Fabiano Pecorelli; Jacopo Soldani; Eddy Truyen; Davide Taibi 001 (CoRR, 2023)

A critical comparison on six static analysis tools: Detection, agreement, and precision. - Valentina Lenarduzzi; Fabiano Pecorelli; Nyyti Saarimäki; Savanna Lujan; Fabio Palomba (J. Syst. Softw., 2023)

Introduction to the Software Quality for Artificial Intelligence (SQA4AI) special issue. - Michael Felderer; Valentina Lenarduzzi; Fabio Palomba; Fabiano Pecorelli (Sci. Comput. Program., 2023)

Quantum Software Engineering Issues and Challenges: Insights from Practitioners. - Manuel De Stefano; Fabiano Pecorelli; Fabio Palomba; Davide Taibi 001; Dario Di Nucci; Andrea De Lucia (Quantum Software, 2024)

A Large-Scale Empirical Investigation Into Cross-Project Flaky Test Prediction. - Angelo Afeltra; Alfonso Cannavale; Fabiano Pecorelli; Valeria Pontillo; Fabio Palomba (IEEE Access, 2024)

The quantum frontier of software engineering: A systematic mapping study. - Manuel De Stefano; Fabiano Pecorelli; Dario Di Nucci; Fabio Palomba; Andrea De Lucia (Inf. Softw. Technol., 2024)

Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture. - Gilberto Recupito; Fabiano Pecorelli; Gemma Catolino; Valentina Lenarduzzi; Davide Taibi 001; Dario Di Nucci; Fabio Palomba (J. Syst. Softw., 2024)

An Empirical Investigation Into the Influence of Software Communities' Cultural and Geographical Dispersion on Productivity. - Stefano Lambiase; Gemma Catolino; Fabiano Pecorelli; Damian A. Tamburri; Fabio Palomba; Willem-Jan van den Heuvel; Filomena Ferrucci (J. Syst. Softw., 2024)

Machine learning-based test smell detection. - Valeria Pontillo; Dario Amoroso d'Aragona; Fabiano Pecorelli; Dario Di Nucci; Filomena Ferrucci; Fabio Palomba (Empir. Softw. Eng., 2024)

Toward granular search-based automatic unit test case generation. - Fabiano Pecorelli; Giovanni Grano; Fabio Palomba; Harald C. Gall; Andrea De Lucia (Empir. Softw. Eng., 2024)

Reformulating regression test suite optimization using quantum annealing - an empirical study. - Antonio Trovato; Manuel De Stefano; Fabiano Pecorelli; Dario Di Nucci; Andrea De Lucia (Int. J. Softw. Tools Technol. Transf., 2024)

Preface for "Quantum Programming for Software Engineering (QP4SE)". - Fabiano Pecorelli; Vita Santa Barletta; Manuel A. Serrano (Sci. Comput. Program., 2025)

Acceptance and Development of Quantum Computing in the Netherlands and Germany: Barriers and Remedies From a Multistakeholder Perspective. - Julian Martens; Indika Kumara; Dario Di Nucci; Fabiano Pecorelli; Geert Monsieur; Damian Andrew Tamburri; Willem-Jan van den Heuvel (IEEE Trans. Engineering Management, 2025)

AI Techniques in the Microservices Life-Cycle: a Systematic Mapping Study. - Sergio Moreschini; Shahrzad Pour; Ivan Lanese; Daniel Balouek; Justus Bogner; Xiaozhou Li 002; Fabiano Pecorelli; Jacopo Soldani; Eddy Truyen; Davide Taibi 001 (Computing, 2025)