Supporting extract class refactoring in Eclipse: The ARIES project. - Gabriele Bavota; Andrea De Lucia; Andrian Marcus; Rocco Oliveto; Fabio Palomba (ICSE, 2012)

Detecting bad smells in source code using change history information. - Fabio Palomba; Gabriele Bavota; Massimiliano Di Penta; Rocco Oliveto; Andrea De Lucia; Denys Poshyvanyk (ASE, 2013)

Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells. - Fabio Palomba; Gabriele Bavota; Massimiliano Di Penta; Rocco Oliveto; Andrea De Lucia (ICSME, 2014)

Textual Analysis for Code Smell Detection. - Fabio Palomba (ICSE (2), 2015)

Extract Package Refactoring in ARIES. - Fabio Palomba; Michele Tufano; Gabriele Bavota; Rocco Oliveto; Andrian Marcus; Denys Poshyvanyk; Andrea De Lucia (ICSE (2), 2015)

When and Why Your Code Starts to Smell Bad. - Michele Tufano; Fabio Palomba; Gabriele Bavota; Rocco Oliveto; Massimiliano Di Penta; Andrea De Lucia; Denys Poshyvanyk (ICSE (1), 2015)

On the role of developer's scattered changes in bug prediction. - Dario Di Nucci; Fabio Palomba; Sandro Siravo; Gabriele Bavota; Rocco Oliveto; Andrea De Lucia (ICSME, 2015)

User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps. - Fabio Palomba; Mario Linares Vásquez; Gabriele Bavota; Rocco Oliveto; Massimiliano Di Penta; Denys Poshyvanyk; Andrea De Lucia (ICSME, 2015)

Landfill: An Open Dataset of Code Smells with Public Evaluation. - Fabio Palomba; Dario Di Nucci; Michele Tufano; Gabriele Bavota; Rocco Oliveto; Denys Poshyvanyk; Andrea De Lucia (MSR, 2015)

Anti-Pattern Detection: Methods, Challenges, and Open Issues. - Fabio Palomba; Andrea De Lucia; Gabriele Bavota; Rocco Oliveto (Adv. Comput., 2015)

An experimental investigation on the innate relationship between quality and refactoring. - Gabriele Bavota; Andrea De Lucia; Massimiliano Di Penta; Rocco Oliveto; Fabio Palomba (J. Syst. Softw., 2015)

Mining Version Histories for Detecting Code Smells. - Fabio Palomba; Gabriele Bavota; Massimiliano Di Penta; Rocco Oliveto; Denys Poshyvanyk; Andrea De Lucia (IEEE Trans. Software Eng., 2015)

On the diffusion of test smells in automatically generated test code: an empirical study. - Fabio Palomba; Dario Di Nucci; Annibale Panichella; Rocco Oliveto; Andrea De Lucia (SBST@ICSE, 2016)

Alternative Sources of Information for Code Smell Detection: Postcards from Far Away. - Fabio Palomba (ICSME, 2016)

Smells Like Teen Spirit: Improving Bug Prediction Performance Using the Intensity of Code Smells. - Fabio Palomba; Marco Zanoni; Francesca Arcelli Fontana; Andrea De Lucia; Rocco Oliveto (ICSME, 2016)

Automatic test case generation: what if test code quality matters? - Fabio Palomba; Annibale Panichella; Andy Zaidman; Rocco Oliveto; Andrea De Lucia (ISSTA, 2016)

A textual-based technique for Smell Detection. - Fabio Palomba; Annibale Panichella; Andrea De Lucia; Rocco Oliveto; Andy Zaidman (ICPC, 2016)

An empirical investigation into the nature of test smells. - Michele Tufano; Fabio Palomba; Gabriele Bavota; Massimiliano Di Penta; Rocco Oliveto; Andrea De Lucia; Denys Poshyvanyk (ASE, 2016)

Social Debt Analytics for Improving the Management of Software Evolution Tasks. - Fabio Palomba; Alexander Serebrenik; Andy Zaidman (BENEVOL, 2017)

PETrA: a software-based tool for estimating the energy profile of Android applications. - Dario Di Nucci; Fabio Palomba; Antonio Prota; Annibale Panichella; Andy Zaidman; Andrea De Lucia (ICSE (Companion Volume), 2017)

Recommending and localizing change requests for mobile apps based on user reviews. - Fabio Palomba; Pasquale Salza; Adelina Ciurumelea; Sebastiano Panichella; Harald C. Gall; Filomena Ferrucci; Andrea De Lucia (ICSE, 2017)

Developer-related factors in change prediction: an empirical assessment. - Gemma Catolino; Fabio Palomba; Andrea De Lucia; Filomena Ferrucci; Andy Zaidman (ICPC, 2017)

An exploratory study on the relationship between changes and refactoring. - Fabio Palomba; Andy Zaidman; Rocco Oliveto; Andrea De Lucia (ICPC, 2017)

Software-based energy profiling of Android apps: Simple, efficient and reliable? - Dario Di Nucci; Fabio Palomba; Antonio Prota; Annibale Panichella; Andy Zaidman; Andrea De Lucia (SANER, 2017)

Lightweight detection of Android-specific code smells: The aDoctor project. - Fabio Palomba; Dario Di Nucci; Annibale Panichella; Andy Zaidman; Andrea De Lucia (SANER, 2017)

Investigating code smell co-occurrences using association rule learning: A replicated study. - Fabio Palomba; Rocco Oliveto; Andrea De Lucia (MaLTeSQuE, 2017)

There and back again: Can you compile that snapshot? - Michele Tufano; Fabio Palomba; Gabriele Bavota; Massimiliano Di Penta; Rocco Oliveto; Andrea De Lucia; Denys Poshyvanyk (J. Softw. Evol. Process., 2017)

Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method. - Dario Di Nucci; Fabio Palomba; Rocco Oliveto; Andrea De Lucia (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away). - Michele Tufano; Fabio Palomba; Gabriele Bavota; Rocco Oliveto; Massimiliano Di Penta; Andrea De Lucia; Denys Poshyvanyk (IEEE Trans. Software Eng., 2017)

Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction. - Dario Di Nucci; Fabio Palomba; Andrea De Lucia (RAISE@ICSE, 2018)

How do community smells influence code smells? - Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik; Andy Zaidman; Francesca Arcelli Fontana; Rocco Oliveto (ICSE (Companion Volume), 2018)

Self-reported activities of Android developers. - Luca Pascarella; Franz-Xaver Geiger; Fabio Palomba; Dario Di Nucci; Ivano Malavolta; Alberto Bacchelli (MOBILESoft@ICSE, 2018)

Automatic Test Smell Detection Using Information Retrieval Techniques. - Fabio Palomba; Andy Zaidman; Andrea De Lucia (ICSME, 2018)

On the Relation of Test Smells to Software Code Quality. - Davide Spadini; Fabio Palomba; Andy Zaidman; Magiel Bruntink; Alberto Bacchelli (ICSME, 2018)

Continuous Refactoring in CI: A Preliminary Study on the Perceived Advantages and Barriers. - Carmine Vassallo; Fabio Palomba; Harald C. Gall (ICSME, 2018)

Do developers update third-party libraries in mobile apps? - Pasquale Salza; Fabio Palomba; Dario Di Nucci; Cosmo D'Uva; Andrea De Lucia; Filomena Ferrucci (ICPC, 2018)

Mining file histories: should we consider branches? - Vladimir Kovalenko; Fabio Palomba; Alberto Bacchelli (ASE, 2018)

Continuous code quality: are we (really) doing that? - Carmine Vassallo; Fabio Palomba; Alberto Bacchelli; Harald C. Gall (ASE, 2018)

Omniscient DevOps Analytics. - Damian Andrew Tamburri; Dario Di Nucci; Lucio Di Giacomo; Fabio Palomba (DEVOPS, 2018)

A graph-based dataset of commit history of real-world Android apps. - Franz-Xaver Geiger; Ivano Malavolta; Luca Pascarella; Fabio Palomba; Dario Di Nucci; Alberto Bacchelli (MSR, 2018)

How is video game development different from software development in open source? - Luca Pascarella; Fabio Palomba; Massimiliano Di Penta; Alberto Bacchelli (MSR, 2018)

Exploring the integration of user feedback in automated testing of Android applications. - Giovanni Grano; Adelina Ciurumelea; Sebastiano Panichella; Fabio Palomba; Harald C. Gall (SANER, 2018)

Detecting code smells using machine learning techniques: Are we there yet? - Dario Di Nucci; Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik; Andrea De Lucia (SANER, 2018)

Re-evaluating method-level bug prediction. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (SANER, 2018)

BECLoMA: Augmenting stack traces with user review information. - Lucas Pelloni; Giovanni Grano; Adelina Ciurumelea; Sebastiano Panichella; Fabio Palomba; Harald C. Gall (SANER, 2018)

Context is king: The developer perspective on the usage of static analysis tools. - Carmine Vassallo; Sebastiano Panichella; Fabio Palomba; Sebastian Proksch 001; Andy Zaidman; Harald C. Gall (SANER, 2018)

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; Rocco Oliveto; Andrea De Lucia (Empir. Softw. Eng., 2018)

A large-scale empirical study on the lifecycle of code smell co-occurrences. - Fabio Palomba; Gabriele Bavota; Massimiliano Di Penta; Fausto Fasano; Rocco Oliveto; Andrea De Lucia (Inf. Softw. Technol., 2018)

Enhancing change prediction models using developer-related factors. - Gemma Catolino; Fabio Palomba; Andrea De Lucia; Filomena Ferrucci; Andy Zaidman (J. Syst. Softw., 2018)

Crowdsourcing user reviews to support the evolution of mobile apps. - Fabio Palomba; Mario Linares Vásquez; Gabriele Bavota; Rocco Oliveto; Massimiliano Di Penta; Denys Poshyvanyk; Andrea De Lucia (J. Syst. Softw., 2018)

Information Needs in Contemporary Code Review. - Luca Pascarella; Davide Spadini; Fabio Palomba; Magiel Bruntink; Alberto Bacchelli (Proc. ACM Hum. Comput. Interact., 2018)

A Developer Centered Bug Prediction Model. - Dario Di Nucci; Fabio Palomba; Giuseppe De Rosa; Gabriele Bavota; Rocco Oliveto; Andrea De Lucia (IEEE Trans. Software Eng., 2018)

The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells. - Fabio Palomba; Annibale Panichella; Andy Zaidman; Rocco Oliveto; Andrea De Lucia (IEEE Trans. Software Eng., 2018)

Data and material for: "Mining file histories: should we consider branches?". - Vladimir Kovalenko; Fabio Palomba; Alberto Bacchelli (Zenodo, 2018)

Information Needs in Contemporary Code Review - Appendix. - Luca Pascarella; Davide Spadini; Fabio Palomba; Magiel Bruntink; Alberto Bacchelli (Zenodo, 2018)

Information Needs in Contemporary Code Review - Appendix. - Luca Pascarella; Davide Spadini; Fabio Palomba; Magiel Bruntink; Alberto Bacchelli (Zenodo, 2018)

On the Performance of Method-Level Bug Prediction: A Negative Result. Appendix. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (Zenodo, 2018)

Fine-Grained Just-In-Time Defect Prediction - Appendix. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (Zenodo, 2018)

The Secret Life of Software Communities: What we Know and What we Don't Know. - Gemma Catolino; Fabio Palomba; Damian A. Tamburri (BENEVOL, 2019)

Flaky Tests: Problems, Solutions, and Challenges. - Fabio Palomba (BENEVOL, 2019)

On the distribution of test smells in open source Android applications: an exploratory study. - Anthony Peruma; Khalid Almalki; Christian D. Newman; Mohamed Wiem Mkaouer; Ali Ouni 001; Fabio Palomba (CASCON, 2019)

Gender diversity and women in software teams: how do they affect community smells? - Gemma Catolino; Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik; Filomena Ferrucci (ICSE-SEIS, 2019)

Test-driven code review: an empirical study. - Davide Spadini; Fabio Palomba; Tobias Baum; Stefan Hanenberg; Magiel Bruntink; Alberto Bacchelli (ICSE, 2019)

Characterizing women (not) contributing to open-source. - Pavlina Wurzelová; Fabio Palomba; Alberto Bacchelli (GE@ICSE, 2019)

How the Experience of Development Teams Relates to Assertion Density of Test Classes. - Gemma Catolino; Fabio Palomba; Andy Zaidman; Filomena Ferrucci (ICSME, 2019)

Adoption, Support, and Challenges of Infrastructure-as-Code: Insights from Industry. - Michele Guerriero; Martin Garriga; Damian A. Tamburri; Fabio Palomba (ICSME, 2019)

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

On the effectiveness of manual and automatic unit test generation: ten years later. - Domenico Serra; Giovanni Grano; Fabio Palomba; Filomena Ferrucci; Harald C. Gall; Alberto Bacchelli (MSR, 2019)

Understanding flaky tests: the developer's perspective. - Moritz Eck; Fabio Palomba; Marco Castelluccio; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2019)

Healthcare Android apps: a tale of the customers' perspective. - Mariaclaudia Nicolai; Luca Pascarella; Fabio Palomba; Alberto Bacchelli (WAMA@ESEC/SIGSOFT FSE, 2019)

Not All Bugs Are the Same: Understanding, Characterizing, and Classifying the Root Cause of Bugs. - Gemma Catolino; Fabio Palomba; Andy Zaidman; Filomena Ferrucci (CoRR, 2019)

On The Effect Of Code Review On Code Smells. - Luca Pascarella; Davide Spadini; Fabio Palomba; Alberto Bacchelli (CoRR, 2019)

Guest Editorial: Special Issue on Software Engineering for Mobile Applications. - Sebastiano Panichella; Fabio Palomba; David Lo 001; Meiyappan Nagappan (Empir. Softw. Eng., 2019)

Discovering community patterns in open-source: a systematic approach and its evaluation. - Damian A. Tamburri; Fabio Palomba; Alexander Serebrenik; Andy Zaidman (Empir. Softw. Eng., 2019)

Machine learning techniques for code smell detection: A systematic literature review and meta-analysis. - Muhammad Ilyas Azeem; Fabio Palomba; Lin Shi 006; Qing Wang 001 (Inf. Softw. Technol., 2019)

A survey on software coupling relations and tools. - Enrico Fregnan; Tobias Baum; Fabio Palomba; Alberto Bacchelli (Inf. Softw. Technol., 2019)

On the impact of code smells on the energy consumption of mobile applications. - Fabio Palomba; Dario Di Nucci; Annibale Panichella; Andy Zaidman; Andrea De Lucia (Inf. Softw. Technol., 2019)

Not all bugs are the same: Understanding, characterizing, and classifying bug types. - Gemma Catolino; Fabio Palomba; Andy Zaidman; Filomena Ferrucci (J. Syst. Softw., 2019)

Scented since the beginning: On the diffuseness of test smells in automatically generated test code. - Giovanni Grano; Fabio Palomba; Dario Di Nucci; Andrea De Lucia; Harald C. Gall (J. Syst. Softw., 2019)

Fine-grained just-in-time defect prediction. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (J. Syst. Softw., 2019)

A large-scale empirical exploration on refactoring activities in open source software projects. - Carmine Vassallo; Giovanni Grano; Fabio Palomba; Harald C. Gall; Alberto Bacchelli (Sci. Comput. Program., 2019)

Introduction to the special issue on "Machine Learning Techniques for Software Quality Evaluation". - Apostolos Ampatzoglou; Francesca Arcelli Fontana; Fabio Palomba; Bartosz Walter (J. Softw. Evol. Process., 2019)

Toward a Smell-Aware Bug Prediction Model. - Fabio Palomba; Marco Zanoni; Francesca Arcelli Fontana; Andrea De Lucia; Rocco Oliveto (IEEE Trans. Software Eng., 2019)

Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators - Replication Package. - Giovanni Grano; Fabio Palomba; Harald C. Gall (Zenodo, 2019)

Online Appendix - Scented Since the Beginning: On the Diffuseness of Test Smells in Automatically Generated Test Code. - Giovanni Grano; Fabio Palomba; Dario Di Nucci; Andrea De Lucia; Harald C. Gall (Zenodo, 2019)

Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach. - Giuseppe Cascavilla; Johann Slabber; Fabio Palomba; Dario Di Nucci; Damian A. Tamburri; Willem-Jan van den Heuvel (AVI, 2020)

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)

UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception. - Linda Di Geronimo; Larissa Braz; Enrico Fregnan; Fabio Palomba; Alberto Bacchelli (CHI, 2020)

Refactoring community smells in the wild: the practitioner's field manual. - Gemma Catolino; Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik; Filomena Ferrucci (ICSE-SEIS, 2020)

An Exploratory Study on the Refactoring of Unit Test Files in Android Applications. - Anthony Peruma; Christian D. Newman; Mohamed Wiem Mkaouer; Ali Ouni 001; Fabio Palomba (ICSE (Workshops), 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)

Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality. - Giovanni Grano; Cristian De Iaco; Fabio Palomba; Harald C. Gall (ICSME, 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)

OpenSZZ: A Free, Open-Source, Web-Accessible Implementation of the SZZ Algorithm. - Valentina Lenarduzzi; Fabio Palomba; Davide Taibi 001; Damian Andrew Tamburri (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)

DeepIaC: deep learning-based linguistic anti-pattern detection in IaC. - Nemania Borovits; Indika Kumara; Parvathy Krishnan; Stefano Dalla Palma; Dario Di Nucci; Fabio Palomba; Damian A. Tamburri; Willem-Jan van den Heuvel (MaLTeSQuE@ESEC/SIGSOFT FSE, 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)

tsDetect: an open source test smells detection tool. - Anthony Peruma; Khalid Almalki; Christian D. Newman; Mohamed Wiem Mkaouer; Ali Ouni 001; Fabio Palomba (ESEC/SIGSOFT FSE, 2020)

Speeding up the data extraction of machine learning approaches: a distributed framework. - Martin Steinhauer; Fabio Palomba (MaLTeSQuE@ESEC/SIGSOFT FSE, 2020)

Towards a Catalogue of Software Quality Metrics for Infrastructure Code. - Stefano Dalla Palma; Dario Di Nucci; Fabio Palomba; Damian A. Tamburri (CoRR, 2020)

Improving change prediction models with code smell-related information. - Gemma Catolino; Fabio Palomba; Francesca Arcelli Fontana; Andrea De Lucia; Andy Zaidman; Filomena Ferrucci (Empir. Softw. Eng., 2020)

Retraction Note: Retraction note to: The smell of fear: on the relation between test smells and flaky tests. - Fabio Palomba; Andy Zaidman (Empir. Softw. Eng., 2020)

Third-party libraries in mobile apps. - Pasquale Salza; Fabio Palomba; Dario Di Nucci; Andrea De Lucia; Filomena Ferrucci (Empir. Softw. Eng., 2020)

How developers engage with static analysis tools in different contexts. - Carmine Vassallo; Sebastiano Panichella; Fabio Palomba; Sebastian Proksch 001; Harald C. Gall; Andy Zaidman (Empir. Softw. Eng., 2020)

Toward a catalog of software quality metrics for infrastructure code. - Stefano Dalla Palma; Dario Di Nucci; Fabio Palomba; Damian Andrew Tamburri (J. Syst. Softw., 2020)

On the performance of method-level bug prediction: A negative result. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (J. Syst. Softw., 2020)

MALTESQUE 2019 Workshop Summary. - Francesca Arcelli Fontana; Gilles Perrouin; Apostolos Ampatzoglou; Mathieu Acher; Bartosz Walter; Maxime Cordy; Fabio Palomba; Xavier Devroey (ACM SIGSOFT Softw. Eng. Notes, 2020)

Gender Diversity and Community Smells: Insights From the Trenches. - Gemma Catolino; Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik; Filomena Ferrucci (IEEE Softw., 2020)

"The Canary in the Coal Mine..." A cautionary tale from the decline of SourceForge. - Damian Andrew Tamburri; Kelly Blincoe; Fabio Palomba; Rick Kazman (Softw. Pract. Exp., 2020)

Dataset of the paper "Information Needs in Contemporary Code Review". - Luca Pascarella; Davide Spadini; Fabio Palomba; Alberto Bacchelli (Zenodo, 2020)

Replication package for "Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality". - Giovanni Grano; Cristian De Iaco; Fabio Palomba; Harald C. Gall (Zenodo, 2020)

Understanding Community Smells Variability: A Statistical Approach: Replication Package Instructions. - Gemma Catolino; Fabio Palomba; Damian Andrew Tamburri; Alexander Serebrenik (ICSE (Companion Volume), 2021)

Understanding Community Smells Variability: A Statistical Approach. - Gemma Catolino; Fabio Palomba; Damian A. Tamburri; Alexander Serebrenik (ICSE-SEIS, 2021)

A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Fabio Palomba; Lamjed Ben Said (QRS, 2021)

Toward static test flakiness prediction: a feasibility study. - Valeria Pontillo; Fabio Palomba; Filomena Ferrucci (MaLTeSQuE@ESEC/SIGSOFT FSE, 2021)

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)

A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision. - Valentina Lenarduzzi; Savanna Lujan; Nyyti Saarimäki; Fabio Palomba (CoRR, 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)

Code smell detection and identification in imbalanced environments. - Sofien Boutaib; Slim Bechikh; Fabio Palomba; Maha Elarbi; Mohamed Makhlouf; Lamjed Ben Said (Expert Syst. Appl., 2021)

The do's and don'ts of infrastructure code: A systematic gray literature review. - Indika Kumara; Martin Garriga; Angel Urbano Romeu; Dario Di Nucci; Fabio Palomba; Damian Andrew Tamburri; Willem-Jan van den Heuvel (Inf. Softw. Technol., 2021)

On the impact of Continuous Integration on refactoring practice: An exploratory study on TravisTorrent. - Islem Saidani; Ali Ouni 001; Mohamed Wiem Mkaouer; Fabio Palomba (Inf. Softw. Technol., 2021)

Predicting the emergence of community smells using socio-technical metrics: A machine-learning approach. - Fabio Palomba; Damian Andrew Tamburri (J. Syst. Softw., 2021)

Evolving software forges: An experience report from Apache Allura. - Damian A. Tamburri; Fabio Palomba (J. Softw. Evol. Process., 2021)

Success and Failure in Software Engineering: A Followup Systematic Literature Review. - Damian A. Tamburri; Fabio Palomba; Rick Kazman (IEEE Trans. Engineering Management, 2021)

Lightweight Assessment of Test-Case Effectiveness Using Source-Code-Quality Indicators. - Giovanni Grano; Fabio Palomba; Harald C. Gall (IEEE Trans. Software Eng., 2021)

Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells? - Fabio Palomba; Damian Andrew Tamburri; Francesca Arcelli Fontana; Rocco Oliveto; Andy Zaidman; Alexander Serebrenik (IEEE Trans. Software Eng., 2021)

Exploring Community Smells in Open-Source: An Automated Approach. - Damian A. Tamburri; Fabio Palomba; Rick Kazman (IEEE Trans. Software Eng., 2021)

A Preliminary Conceptualization and Analysis on Automated Static Analysis Tools for Vulnerability Detection in Android Apps. - Giammaria Giordano; Fabio Palomba; Filomena Ferrucci (SEAA, 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)

Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction. - Francesco Lomio; Luca Pascarella; Fabio Palomba; Valentina Lenarduzzi (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)

A bi-level evolutionary approach for the multi-label detection of smelly classes. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Fabio Palomba; Lamjed Ben Said (GECCO Companion, 2022)

AI-Based Emotion Recognition to Study Users' Perception of Dark Patterns. - Simone Avolicino; Marianna Di Gregorio; Fabio Palomba; Marco Romano 001; Monica Sebillo; Giuliana Vitiello (HCI (41), 2022)

A Preliminary Study on the Assignment of GitHub Issues to Issue Commenters and the Relationship with Social Smells. - Haris Mumtaz; Carlos V. Paradis; Fabio Palomba; Damian A. Tamburri; Rick Kazman; Kelly Blincoe (CHASE@ICSE, 2022)

Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells. - Stefano Lambiase; Gemma Catolino; Damian A. Tamburri; Alexander Serebrenik; Fabio Palomba; Filomena Ferrucci (ICSE-SEIS, 2022)

The Phantom Menace: Unmasking Security Issues in Evolving Software. - Emanuele Iannone; Fabio Palomba (ICSME, 2022)

Community Smell Detection and Refactoring in SLACK: The CADOCS Project. - Gianmario Voria; Viviana Pentangelo; Antonio Della Porta; Stefano Lambiase; Gemma Catolino; Fabio Palomba; Filomena Ferrucci (ICSME, 2022)

Towards Quantum-algorithms-as-a-service. - Manuel De Stefano; Dario Di Nucci; Fabio Palomba; Davide Taibi 001; Andrea De Lucia (QP4SE@ESEC/SIGSOFT FSE, 2022)

Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation - A Case Study in the Netherlands. - Giuseppe Cascavilla; Gemma Catolino; Fabio Palomba; Andreas S. Andreou; Damian A. Tamburri; Willem-Jan van den Heuvel (SummerSOC, 2022)

On the Evolution of Inheritance and Delegation Mechanisms and Their Impact on Code Quality. - Giammaria Giordano; Antonio Fasulo; Gemma Catolino; Fabio Palomba; Filomena Ferrucci; Carmine Gravino (SANER, 2022)

Gender Diversity and Community Smells: A Double-Replication Study on Brazilian Software Teams. - Camila Sarmento; Tiago Massoni; Alexander Serebrenik; Gemma Catolino; Damian A. Tamburri; Fabio Palomba (SANER, 2022)

Toward Understanding the Impact of Refactoring on Program Comprehension. - Giulia Sellitto; Emanuele Iannone; Zadia Codabux; Valentina Lenarduzzi; Andrea De Lucia; Fabio Palomba; Filomena Ferrucci (SANER, 2022)

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

FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code. - Nemania Borovits; Indika Kumara; Dario Di Nucci; Parvathy Krishnan; Stefano Dalla Palma; Fabio Palomba; Damian A. Tamburri; Willem-Jan van den Heuvel (Empir. Softw. Eng., 2022)

Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Fabio Palomba; Lamjed Ben Said (Empir. Softw. Eng., 2022)

The making of accessible Android applications: an empirical study on the state of the practice. - Marianna Di Gregorio; Dario Di Nucci; Fabio Palomba; Giuliana Vitiello (Empir. Softw. Eng., 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)

Static test flakiness prediction: How Far Can We Go? - Valeria Pontillo; Fabio Palomba; Filomena Ferrucci (Empir. Softw. Eng., 2022)

On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review. - Giammaria Giordano; Fabio Palomba; Filomena Ferrucci (J. Syst. Softw., 2022)

Just-in-time software vulnerability detection: Are we there yet? - Francesco Lomio; Emanuele Iannone; Andrea De Lucia; Fabio Palomba; Valentina Lenarduzzi (J. Syst. Softw., 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)

Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics. - Stefano Dalla Palma; Dario Di Nucci; Fabio Palomba; Damian A. Tamburri (IEEE Trans. Software Eng., 2022)

Toward a Secure Educational Metaverse: A Tale of Blockchain Design for Educational Environments. - Dario Di Dario; Umberto Bilotti; Maurizio Sibilio; Carmine Gravino; Fabio Palomba (SEAA, 2023)

Security Testing in The Wild: An Interview Study. - Dario Di Dario; Valeria Pontillo; Stefano Lambiase; Filomena Ferrucci; Fabio Palomba (SEAA, 2023)

The Yin and Yang of Software Quality: On the Relationship between Design Patterns and Code Smells. - Giammaria Giordano; Giulia Sellitto; Aurelio Sepe; Fabio Palomba; Filomena Ferrucci (SEAA, 2023)

Meet C4SE: Your New Collaborator for Software Engineering Tasks. - Gabriele De Vito; Stefano Lambiase; Fabio Palomba; Filomena Ferrucci (SEAA, 2023)

ECHO: An Approach to Enhance Use Case Quality Exploiting Large Language Models. - Gabriele De Vito; Fabio Palomba; Carmine Gravino; Sergio Di Martino; Filomena Ferrucci (SEAA, 2023)

Machine Learning for Educational Metaverse: How Far Are We? - Umberto Bilotti; Dario Di Dario; Fabio Palomba; Carmine Gravino; Maurizio Sibilio (ICCE, 2023)

Understanding Developer Practices and Code Smells Diffusion in AI-Enabled Software: A Preliminary Study. - Giammaria Giordano; Giusy Annunziata; Andrea De Lucia; Fabio Palomba (IWSM-Mensura, 2023)

An Empirical Study on the Performance of Vulnerability Prediction Models Evaluated Applying Real-world Labelling. - Giulia Sellitto; Alexandra Sheykina; Fabio Palomba; Andrea De Lucia (IWSM-Mensura, 2023)

How May Deep Learning Testing Inform Model Generalizability? The Case of Image Classification. - Giammaria Giordano; Valeria Pontillo; Giusy Annunziata; Antonio Cimino; Filomena Ferrucci; Fabio Palomba (SATToSE, 2023)

Automating Test-Specific Refactoring Mining: A Mixed-Method Investigation. - Luana Almeida Martins; Heitor A. X. Costa; Márcio Ribeiro 001; Fabio Palomba; Ivan Machado 001 (SCAM, 2023)

Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review. - Sergio Moreschini; Gilberto Recupito; Valentina Lenarduzzi; Fabio Palomba; David Hästbacka; Davide Taibi 001 (CoRR, 2023)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Sadi Alawadi; Khalid Alkharabsheh; Fahed Alkhabbas; Victor R. Kebande; Feras M. Awaysheh; Fabio Palomba (CoRR, 2023)

Classification, Challenges, and Automated Approaches to Handle Non-Functional Requirements in ML-Enabled Systems: A Systematic Literature Review. - Vincenzo De Martino; Fabio Palomba (CoRR, 2023)

A Systematic Literature Review on the Code Smells Datasets and Validation Mechanisms. - Morteza Zakeri Nasrabadi; Saeed Parsa; Ehsan Esmaili; Fabio Palomba (ACM Comput. Surv., 2023)

Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security. - Emanuele Iannone; Zadia Codabux; Valentina Lenarduzzi; Andrea De Lucia; Fabio Palomba (Empir. Softw. Eng., 2023)

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study. - Emanuele Iannone; Roberta Guadagni; Filomena Ferrucci; Andrea De Lucia; Fabio Palomba (IEEE Trans. Software Eng., 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)

Software Engineering Challenges for Quantum Computing: Report from the First Working Seminar on Quantum Software Engineering (WSQSE 22). - Michael Felderer; Davide Taibi 001; Fabio Palomba; Michael Epping; Malte Lochau; Benjamin Weder (ACM SIGSOFT Softw. Eng. Notes, 2023)

QuantuMoonLight: A low-code platform to experiment with quantum machine learning. - Francesco Amato; Matteo Cicalese; Luca Contrasto; Giacomo Cubicciotti; Gerardo D'Ambola; Antonio La Marca; Giuseppe Pagano; Fiorentino Tomeo; Gennaro Alessio Robertazzi; Gabriele Vassallo; Giovanni Acampora; Autilia Vitiello; et al. (SoftwareX, 2023)

The anatomy of a vulnerability database: A systematic mapping study. - Xiaozhou Li 002; Sergio Moreschini; Zheying Zhang; Fabio Palomba; Davide Taibi 001 (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)

Teaching Mining Software Repositories. - Zadia Codabux; Fatemeh H. Fard; Roberto Verdecchia; Fabio Palomba; Dario Di Nucci; Gilberto Recupito (Handbook on Teaching Empirical Software Engineering, 2024)

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)

Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality. - Gilberto Recupito; Raimondo Rapacciuolo; Dario Di Nucci; Fabio Palomba (CAIN, 2024)

Security Risk Assessment on Cloud: A Systematic Mapping Study. - Giusy Annunziata; Alexandra Sheykina; Fabio Palomba; Andrea De Lucia; Gemma Catolino; Filomena Ferrucci (EASE, 2024)

Toward a Search-Based Approach to Support the Design of Security Tests for Malicious Network Traffic. - Davide La Gamba; Gerardo Iuliano; Gilberto Recupito; Giammaria Giordano; Filomena Ferrucci; Dario Di Nucci; Fabio Palomba (EASE, 2024)

Continuous Quality Improvement of AI-based Systems: the QualAI Project. - Nicole Novielli; Rocco Oliveto; Fabio Palomba; Fabio Calefato; Giuseppe Colavito; Vincenzo De Martino; Antonio Della Porta; Giammaria Giordano; Emanuela Guglielmi; Filippo Lanubile; Luigi Quaranta; Gilberto Recupito; et al. (ESEM, 2024)

FRINGE: context-aware FaiRness engineerING in complex software systEms. - Fabio Palomba; Andrea Di Sorbo; Davide Di Ruscio; Filomena Ferrucci; Gemma Catolino; Giammaria Giordano; Dario Di Dario; Gianmario Voria; Viviana Pentangelo; Maria Tortorella; Arnaldo Sgueglia; Claudio Di Sipio; et al. (ESEM, 2024)

An Empirical Study on the Relation Between Programming Languages and the Emergence of Community Smells. - Giusy Annunziata; Carmine Ferrara; Stefano Lambiase; Fabio Palomba; Gemma Catolino; Filomena Ferrucci; Andrea De Lucia (SEAA, 2024)

AGORA: An Approach for Generating Acceptance Test Cases from Use Cases. - Gabriele De Vito; Gabriele Vassallo; Fabio Palomba; Filomena Ferrucci (SEAA, 2024)

Is Attention All You Need? Toward a Conceptual Model for Social Awareness in Large Language Models. - Gianmario Voria; Gemma Catolino; Fabio Palomba (FORGE, 2024)

SERGE - Serious Game for the Education of Risk Management in Software Project Management. - Giusy Annunziata; Stefano Lambiase; Fabio Palomba; Filomena Ferrucci (SEET@ICSE, 2024)

ReFAIR: Toward a Context-Aware Recommender for Fairness Requirements Engineering. - Carmine Ferrara; Francesco Casillo; Carmine Gravino; Andrea De Lucia; Fabio Palomba (ICSE, 2024)

Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice. - Stefano Lambiase; Gemma Catolino; Bice Della Piana; Filomena Ferrucci; Fabio Palomba (ICSE (SEIS), 2024)

Teachers Interacting with Generative Artificial Intelligence: A Dual Responsibility. - Carmine Gravino; Alessandro Iannella; Mirko Marras; Silvio Marcello Pagliara; Fabio Palomba (Ital-IA, 2024)

Using Large Language Models to Support Software Engineering Documentation in Waterfall Life Cycles: Are We There Yet? - Antonio Della Porta; Vincenzo De Martino; Gilberto Recupito; Carmine Iemmino; Gemma Catolino; Dario Di Nucci; Fabio Palomba (Ital-IA, 2024)

Large Language Models in Software Engineering: A Focus on Issue Report Classification and User Acceptance Test Generation. - Gabriele De Vito; Luigi Libero Lucio Starace; Sergio Di Martino; Filomena Ferrucci; Fabio Palomba (Ital-IA, 2024)

Do Static Analysis Tools Improve Awareness and Attitude Toward Secure Software Development? - Sabato Nocera; Simone Romano 001; Dario Di Nucci; Rita Francese; Fabio Palomba; Giuseppe Scanniello (QUATIC, 2024)

QualAI: Continuous Quality Improvement of AI-based Systems. - Nicole Novielli; Rocco Oliveto; Fabio Palomba; Fabio Calefato; Giuseppe Colavito; Vincenzo De Martino; Antonio Della Porta; Giammaria Giordano; Emanuela Guglielmi; Filippo Lanubile; Luigi Quaranta; Gilberto Recupito; et al. (RCIS Workshops, 2024)

Collecting and Implementing Ethical Guidelines for Emotion Recognition in an Educational Metaverse. - Dario Di Dario; Viviana Pentangelo; Maria Immacolata Colella; Fabio Palomba; Carmine Gravino (UMAP (Adjunct Publication), 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)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Sadi Alawadi; Khalid Alkharabsheh; Fahed Alkhabbas; Victor R. Kebande; Feras M. Awaysheh; Fabio Palomba; Mohammed Awad (IEEE Access, 2024)

In Search of Metrics to Guide Developer-Based Refactoring Recommendations. - Mikel Robredo; Matteo Esposito 001; Fabio Palomba; Rafael Peñaloza; Valentina Lenarduzzi (CoRR, 2024)

A Catalog of Fairness-Aware Practices in Machine Learning Engineering. - Gianmario Voria; Giulia Sellitto; Carmine Ferrara; Francesco Abate; Andrea De Lucia; Filomena Ferrucci; Gemma Catolino; Fabio Palomba (CoRR, 2024)

Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering. - Stefano Lambiase; Gemma Catolino; Fabio Palomba; Filomena Ferrucci; Daniel Russo 002 (CoRR, 2024)

Experiences from Using LLMs for Repository Mining Studies in Empirical Software Engineering. - Vincenzo De Martino; Joel Castaño; Fabio Palomba; Xavier Franch; Silverio Martínez-Fernández (CoRR, 2024)

RECOVER: Toward the Automatic Requirements Generation from Stakeholders' Conversations. - Gianmario Voria; Francesco Casillo; Carmine Gravino; Gemma Catolino; Fabio Palomba (CoRR, 2024)

Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review. - Pir Bakhsh Khokhar; Carmine Gravino; Fabio Palomba (CoRR, 2024)

Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative? - Gianmario Voria; Rebecca Di Matteo; Giammaria Giordano; Gemma Catolino; Fabio Palomba (CoRR, 2024)

On the Impact of 3D Visualization of Repository Metrics in Software Engineering Education. - Dario Di Dario; Stefano Lambiase; Fabio Palomba; Carmine Gravino (CoRR, 2024)

SENEM: A software engineering-enabled educational metaverse. - Viviana Pentangelo; Dario Di Dario; Stefano Lambiase; Filomena Ferrucci; Carmine Gravino; Fabio Palomba (Inf. Softw. Technol., 2024)

Test Code Flakiness in Mobile Apps: The Developer's Perspective. - Valeria Pontillo; Fabio Palomba; Filomena Ferrucci (Inf. Softw. Technol., 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)

Fairness-aware machine learning engineering: how far are we? - Carmine Ferrara; Giulia Sellitto; Filomena Ferrucci; Fabio Palomba; Andrea De Lucia (Empir. Softw. Eng., 2024)

On the adoption and effects of source code reuse on defect proneness and maintenance effort. - Giammaria Giordano; Gerardo Festa; Gemma Catolino; Fabio Palomba; Filomena Ferrucci; Carmine Gravino (Empir. Softw. Eng., 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)

"Through the looking-glass ..." An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications. - Stefano Dalla Palma; Chiel van Asseldonk; Gemma Catolino; Dario Di Nucci; Fabio Palomba; Damian A. Tamburri (J. Softw. Evol. Process., 2024)

An empirical study into the effects of transpilation on quantum circuit smells. - Manuel De Stefano; Dario Di Nucci; Fabio Palomba; Andrea De Lucia (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)

Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be? - Emanuele Iannone; Giulia Sellitto; Emanuele Iaccarino; Filomena Ferrucci; Andrea De Lucia; Fabio Palomba (ACM Trans. Softw. Eng. Methodol., 2024)

Students' Perception of ChatGPT in Software Engineering: Lessons Learned from Five Courses. - Luciano Baresi; Andrea De Lucia; Antinisca Di Marco; Massimiliano Di Penta; Davide Di Ruscio; Leonardo Mariani; Daniela Micucci; Fabio Palomba; Maria Teresa Rossi; Fiorella Zampetti (CSEE&T, 2025)

Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study. - Vincenzo De Martino; Silverio Martínez-Fernández; Fabio Palomba (ICSE-SEIS, 2025)

From Expectation to Habit: Why do Software Practitioners Adopt Fairness Toolkits? - Gianmario Voria; Stefano Lambiase; Maria Concetta Schiavone; Gemma Catolino; Fabio Palomba (ICSE-SEIS, 2025)

A Framework for Using LLMs for Repository Mining Studies in Empirical Software Engineering. - Vincenzo De Martino; Joel Castaño; Fabio Palomba; Xavier Franch; Silverio Martínez-Fernández (WSESE@ICSE, 2025)

Advances in artificial intelligence for diabetes prediction: insights from a systematic literature review. - Pir Bakhsh Khokhar; Carmine Gravino; Fabio Palomba (Artif. Intell. Medicine, 2025)

The role of Large Language Models in addressing IoT challenges: A systematic literature review. - Gabriele De Vito; Fabio Palomba; Filomena Ferrucci (Future Gener. Comput. Syst., 2025)

Classification and challenges of non-functional requirements in ML-enabled systems: A systematic literature review. - Vincenzo De Martino; Fabio Palomba (Inf. Softw. Technol., 2025)

Fairness-aware practices from developers' perspective: A survey. - Gianmario Voria; Giulia Sellitto; Carmine Ferrara; Francesco Abate; Andrea De Lucia; Filomena Ferrucci; Gemma Catolino; Fabio Palomba (Inf. Softw. Technol., 2025)

Into the ML-Universe: An improved classification and characterization of machine-learning projects. - Vincenzo De Martino; Gilberto Recupito; Giammaria Giordano; Filomena Ferrucci; Dario Di Nucci; Fabio Palomba (J. Syst. Softw., 2025)

Examining the impact of bias mitigation algorithms on the sustainability of ML-enabled systems: A benchmark study. - Vincenzo De Martino; Gianmario Voria; Ciro Troiano; Gemma Catolino; Fabio Palomba (J. Syst. Softw., 2025)

An empirical investigation into the capabilities of anomaly detection approaches for test smell detection. - Valeria Pontillo; Luana Almeida Martins; Ivan do Carmo Machado; Fabio Palomba; Filomena Ferrucci (J. Syst. Softw., 2025)

MLOps, LLMOps, FMOps, and Beyond. - Chakkrit Kla Tantithamthavorn; Fabio Palomba; Foutse Khomh; Joselito Joey Chua (IEEE Softw., 2025)

Students' Perception of ChatGPT in Software Engineering: Lessons Learned from Five Courses. - Luciano Baresi; Andrea De Lucia; Antinisca Di Marco; Massimiliano Di Penta; Davide Di Ruscio; Leonardo Mariani; Daniela Micucci; Fabio Palomba; Maria Teresa Rossi; Fiorella Zampetti (Zenodo, 2025)

Teaching Mining Software Repositories. - Zadia Codabux; Fatemeh H. Fard; Roberto Verdecchia; Fabio Palomba; Dario Di Nucci; Gilberto Recupito (CoRR, 2025)

Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence. - Pir Bakhsh Khokhar; Viviana Pentangelo; Fabio Palomba; Carmine Gravino (CoRR, 2025)

A Systematic Literature Review on Automated Exploit and Security Test Generation. - Quang-Cuong Bui; Emanuele Iannone; Maria Camporese; Torge Hinrichs; Catherine Tony; László Tóth 001; Fabio Palomba; Péter Hegedüs; Fabio Massacci; Riccardo Scandariato (CoRR, 2025)

Test code refactoring unveiled: where and how does it affect test code quality and effectiveness? - Luana Almeida Martins; Valeria Pontillo; Heitor A. X. Costa; Filomena Ferrucci; Fabio Palomba; Ivan do Carmo Machado (Empir. Softw. Eng., 2025)

Contextual Fairness-Aware Practices in ML: A Cost-Effective Empirical Evaluation. - Alessandra Parziale; Gianmario Voria; Giammaria Giordano; Gemma Catolino; Gregorio Robles; Fabio Palomba (CoRR, 2025)

Exploring Individual Factors in the Adoption of LLMs for Specific Software Engineering Tasks. - Stefano Lambiase; Gemma Catolino; Fabio Palomba; Filomena Ferrucci; Daniel Russo 002 (CoRR, 2025)

Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code. - Antonio Della Porta; Stefano Lambiase; Fabio Palomba (CoRR, 2025)

How Do Communities of ML-Enabled Systems Smell? A Cross-Sectional Study on the Prevalence of Community Smells. - Giusy Annunziata; Stefano Lambiase; Fabio Palomba; Gemma Catolino; Filomena Ferrucci (CoRR, 2025)

Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review. - Stefano Lambiase; Gemma Catolino; Fabio Palomba; Filomena Ferrucci (ACM Comput. Surv., 2025)

LLM-Based Automation of COSMIC Functional Size Measurement From Use Cases. - Gabriele De Vito; Sergio Di Martino; Filomena Ferrucci; Carmine Gravino; Fabio Palomba (IEEE Trans. Software Eng., 2025)

RECOVER: Toward Requirements Generation From Stakeholders' Conversations. - Gianmario Voria; Francesco Casillo; Carmine Gravino; Gemma Catolino; Fabio Palomba (IEEE Trans. Software Eng., 2025)

Investigating the Performance of Small Language Models in Detecting Test Smells in Manual Test Cases. - Keila Lucas; Rohit Gheyi; Márcio Ribeiro 001; Fabio Palomba; Luana Almeida Martins; Elvys Soares (CoRR, 2025)

Uncovering Community Smells in Machine Learning-Enabled Systems: Causes, Effects, and Mitigation Strategies. - Giusy Annunziata; Stefano Lambiase; Damian A. Tamburri; Willem-Jan van den Heuvel; Fabio Palomba; Gemma Catolino; Filomena Ferrucci; Andrea De Lucia (ACM Trans. Softw. Eng. Methodol., 2025)

When code smells meet ML: on the lifecycle of ML-specific code smells in ML-enabled systems. - Gilberto Recupito; Giammaria Giordano; Filomena Ferrucci; Dario Di Nucci; Fabio Palomba (Empir. Softw. Eng., 2025)