Fabio Palomba

According to our database, Fabio Palomba authored at least 178 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., April, 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., February, 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., February, 2024

Fairness-aware machine learning engineering: how far are we?

Carmine Ferrara, Giulia Sellitto, Filomena Ferrucci, Fabio Palomba, Andrea De Lucia

Empir. Softw. Eng., February, 2024

Test Code Flakiness in Mobile Apps: The Developer's Perspective.

Valeria Pontillo, Fabio Palomba, Filomena Ferrucci

Inf. Softw. Technol., 2024

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

CoRR, 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

2023

Introduction to the Software Quality for Artificial Intelligence (SQA4AI) special issue.

Michael Felderer, Valentina Lenarduzzi, Fabio Palomba, Fabiano Pecorelli

Sci. Comput. Program., July, 2023

The anatomy of a vulnerability database: A systematic mapping study.

Xiaozhou Li, Sergio Moreschini, Zheying Zhang, Fabio Palomba, Davide Taibi

J. Syst. Softw., July, 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, Gemma Catolino, Giammaria Giordano, Stefano Lambiase, Valeria Pontillo, Giulia Sellitto, Filomena Ferrucci, Fabio Palomba

SoftwareX, May, 2023

Software Engineering Challenges for Quantum Computing: Report from the First Working Seminar on Quantum Software Engineering (WSQSE 22).

Michael Felderer, Davide Taibi, Fabio Palomba, Michael Epping, Malte Lochau, Benjamin Weder

ACM SIGSOFT Softw. Eng. Notes, April, 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., April, 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

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

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

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

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 Machado

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

The Quantum Frontier of Software Engineering: A Systematic Mapping Study.

Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia

CoRR, 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

CoRR, 2023

Automating Test-Specific Refactoring Mining: A Mixed-Method Investigation.

Luana Almeida Martins, Heitor A. X. Costa, Márcio Ribeiro, Fabio Palomba, Ivan Machado

Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 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

Proceedings of the 15th Seminar on Advanced Techniques & Tools for Software Evolution, University of Salerno, Computer Science Department, 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

Proceedings of the Joint Proceedings of the 32nd International Workshop on Software Measurement (IWSM) and the 17th International Conference on Software Process and Product Measurement (MENSURA), 2023

Understanding Developer Practices and Code Smells Diffusion in AI-Enabled Software: A Preliminary Study.

Giammaria Giordano, Giusy Annunziata, Andrea De Lucia, Fabio Palomba

Proceedings of the Joint Proceedings of the 32nd International Workshop on Software Measurement (IWSM) and the 17th International Conference on Software Process and Product Measurement (MENSURA), 2023

Machine Learning for Educational Metaverse: How Far Are We?

Umberto Bilotti, Dario Di Dario, Fabio Palomba, Carmine Gravino, Maurizio Sibilio

Proceedings of the IEEE International Conference on Consumer Electronics, 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

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Meet C4SE: Your New Collaborator for Software Engineering Tasks.

Gabriele De Vito, Stefano Lambiase, Fabio Palomba, Filomena Ferrucci

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 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

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Security Testing in The Wild: An Interview Study.

Dario Di Dario, Valeria Pontillo, Stefano Lambiase, Filomena Ferrucci, Fabio Palomba

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Toward a Secure Educational Metaverse: A Tale of Blockchain Design for Educational Environments.

Dario Di Dario, Umberto Bilotti, Maurizio Sibilio, Carmine Gravino, Fabio Palomba

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

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

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

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

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

Static test flakiness prediction: How Far Can We Go?

Valeria Pontillo, Fabio Palomba, Filomena Ferrucci

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 testing and Android applications: a large-scale empirical study.

Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba

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

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

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

Toward Granular Automatic Unit Test Case Generation.

Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia

CoRR, 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

Proceedings of the IEEE International Conference on Software Analysis, 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

Proceedings of the IEEE International Conference on Software Analysis, 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

Proceedings of the IEEE International Conference on Software Analysis, 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

Proceedings of the Service-Oriented Computing - 16th Symposium and Summer School, 2022

Towards Quantum-algorithms-as-a-service.

Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Davide Taibi, Andrea De Lucia

Proceedings of the 1st International Workshop on Quantum Programming for Software Engineering, 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

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

The Phantom Menace: Unmasking Security Issues in Evolving Software.

Emanuele Iannone, Fabio Palomba

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 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

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Society ICSE (SEIS) 2022, 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

Proceedings of the 15th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering , 2022

AI-Based Emotion Recognition to Study Users' Perception of Dark Patterns.

Simone Avolicino, Marianna Di Gregorio, Fabio Palomba, Marco Romano, Monica Sebillo, Giuliana Vitiello

Proceedings of the HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction, 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

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 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

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction.

Francesco Lomio, Luca Pascarella, Fabio Palomba, Valentina Lenarduzzi

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 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

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

A Preliminary Conceptualization and Analysis on Automated Static Analysis Tools for Vulnerability Detection in Android Apps.

Giammaria Giordano, Fabio Palomba, Filomena Ferrucci

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

2021

Exploring Community Smells in Open-Source: An Automated Approach.

Damian A. Tamburri, Fabio Palomba, Rick Kazman

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

Lightweight Assessment of Test-Case Effectiveness Using Source-Code-Quality Indicators.

Giovanni Grano, Fabio Palomba, Harald C. Gall

IEEE Trans. Software Eng., 2021

Success and Failure in Software Engineering: A Followup Systematic Literature Review.

Damian A. Tamburri, Fabio Palomba, Rick Kazman

IEEE Trans. Engineering Management, 2021

Evolving software forges: An experience report from Apache Allura.

Damian A. Tamburri, Fabio Palomba

J. Softw. Evol. Process., 2021

Predicting the emergence of community smells using socio-technical metrics: A machine-learning approach.

Fabio Palomba, Damian Andrew Tamburri

J. Syst. Softw., 2021

On the impact of Continuous Integration on refactoring practice: An exploratory study on TravisTorrent.

Islem Saidani, Ali Ouni, Mohamed Wiem Mkaouer, Fabio Palomba

Inf. Softw. Technol., 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

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 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

A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision.

Valentina Lenarduzzi, Savanna Lujan, Nyyti Saarimäki, Fabio Palomba

CoRR, 2021

Comparing within- and cross-project machine learning algorithms for code smell detection.

Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia

Proceedings of the MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, 2021

Toward static test flakiness prediction: a feasibility study.

Valeria Pontillo, Fabio Palomba, Filomena Ferrucci

Proceedings of the MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, 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

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Understanding Community Smells Variability: A Statistical Approach.

Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2021

Understanding Community Smells Variability: A Statistical Approach: Replication Package Instructions.

Gemma Catolino, Fabio Palomba, Damian Andrew Tamburri, Alexander Serebrenik

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

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

Gender Diversity and Community Smells: Insights From the Trenches.

Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci

IEEE 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

On the performance of method-level bug prediction: A negative result.

Luca Pascarella, Fabio Palomba, Alberto Bacchelli

J. Syst. Softw., 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

How developers engage with static analysis tools in different contexts.

Carmine Vassallo, Sebastiano Panichella, Fabio Palomba, Sebastian Proksch, Harald C. Gall, 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

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

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

Towards a Catalogue of Software Quality Metrics for Infrastructure Code.

Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri

CoRR, 2020

Speeding up the data extraction of machine learning approaches: a distributed framework.

Martin Steinhauer, Fabio Palomba

Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2020

tsDetect: an open source test smells detection tool.

Anthony Peruma, Khalid Almalki, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, Fabio Palomba

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 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

Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2020

Developer-Driven Code Smell Prioritization.

Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 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

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

OpenSZZ: A Free, Open-Source, Web-Accessible Implementation of the SZZ Algorithm.

Valentina Lenarduzzi, Fabio Palomba, Davide Taibi, Damian Andrew Tamburri

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Just-In-Time Test Smell Detection and Refactoring: The DARTS Project.

Stefano Lambiase, Andrea Cupito, Fabiano Pecorelli, Andrea De Lucia, Fabio Palomba

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Refactoring Android-specific Energy Smells: A Plugin for Android Studio.

Emanuele Iannone, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence.

Manuel De Stefano, Fabiano Pecorelli, Damian Andrew Tamburri, Fabio Palomba, Andrea De Lucia

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality.

Giovanni Grano, Cristian De Iaco, Fabio Palomba, Harald C. Gall

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Splicing Community Patterns and Smells: A Preliminary Study.

Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

An Exploratory Study on the Refactoring of Unit Test Files in Android Applications.

Anthony Peruma, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, Fabio Palomba

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Refactoring community smells in the wild: the practitioner's field manual.

Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci

Proceedings of the ICSE-SEIS '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Society, Seoul, South Korea, 27 June, 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

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

VITRuM: A Plug-In for the Visualization of Test-Related Metrics.

Fabiano Pecorelli, Gianluca Di Lillo, Fabio Palomba, Andrea De Lucia

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

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

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

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

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

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

Fine-grained just-in-time defect prediction.

Luca Pascarella, Fabio Palomba, Alberto Bacchelli

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

Not all bugs are the same: Understanding, characterizing, and classifying bug types.

Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci

J. Syst. Softw., 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

A survey on software coupling relations and tools.

Enrico Fregnan, Tobias Baum, Fabio Palomba, Alberto Bacchelli

Inf. Softw. Technol., 2019

Machine learning techniques for code smell detection: A systematic literature review and meta-analysis.

Muhammad Ilyas Azeem, Fabio Palomba, Lin Shi, Qing Wang

Inf. Softw. Technol., 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

Guest Editorial: Special Issue on Software Engineering for Mobile Applications.

Sebastiano Panichella, Fabio Palomba, David Lo, Meiyappan Nagappan

Empir. Softw. Eng., 2019

On The Effect Of Code Review On Code Smells.

Luca Pascarella, Davide Spadini, Fabio Palomba, Alberto Bacchelli

CoRR, 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

Healthcare Android apps: a tale of the customers' perspective.

Mariaclaudia Nicolai, Luca Pascarella, Fabio Palomba, Alberto Bacchelli

Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics, 2019

Understanding flaky tests: the developer's perspective.

Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

Comparing heuristic and machine learning approaches for metric-based code smell detection.

Fabiano Pecorelli, Fabio Palomba, Dario Di Nucci, Andrea De Lucia

Proceedings of the 27th International Conference on Program Comprehension, 2019

Adoption, Support, and Challenges of Infrastructure-as-Code: Insights from Industry.

Michele Guerriero, Martin Garriga, Damian A. Tamburri, Fabio Palomba

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

How the Experience of Development Teams Relates to Assertion Density of Test Classes.

Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Characterizing women (not) contributing to open-source.

Pavlina Wurzelová, Fabio Palomba, Alberto Bacchelli

Proceedings of the 2nd International Workshop on Gender Equality in Software Engineering, 2019

Test-driven code review: an empirical study.

Davide Spadini, Fabio Palomba, Tobias Baum, Stefan Hanenberg, Magiel Bruntink, Alberto Bacchelli

Proceedings of the 41st International Conference on Software Engineering, 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

Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Society, 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, Fabio Palomba

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

Flaky Tests: Problems, Solutions, and Challenges.

Fabio Palomba

Proceedings of the 18th Belgium-Netherlands Software Evolution Workshop, 2019

The Secret Life of Software Communities: What we Know and What we Don't Know.

Gemma Catolino, Fabio Palomba, Damian A. Tamburri

Proceedings of the 18th Belgium-Netherlands Software Evolution Workshop, 2019

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

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

Information Needs in Contemporary Code Review.

Luca Pascarella, Davide Spadini, Fabio Palomba, Magiel Bruntink, Alberto Bacchelli

Proc. ACM Hum. Comput. Interact., 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

Enhancing change prediction models using developer-related factors.

Gemma Catolino, Fabio Palomba, Andrea De Lucia, Filomena Ferrucci, Andy Zaidman

J. Syst. Softw., 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

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

Context is king: The developer perspective on the usage of static analysis tools.

Carmine Vassallo, Sebastiano Panichella, Fabio Palomba, Sebastian Proksch, Andy Zaidman, Harald C. Gall

Proceedings of the 25th International Conference on Software Analysis, 2018

BECLoMA: Augmenting stack traces with user review information.

Lucas Pelloni, Giovanni Grano, Adelina Ciurumelea, Sebastiano Panichella, Fabio Palomba, Harald C. Gall

Proceedings of the 25th International Conference on Software Analysis, 2018

Re-evaluating method-level bug prediction.

Luca Pascarella, Fabio Palomba, Alberto Bacchelli

Proceedings of the 25th International Conference on Software Analysis, 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

Proceedings of the 25th International Conference on Software Analysis, 2018

Exploring the integration of user feedback in automated testing of Android applications.

Giovanni Grano, Adelina Ciurumelea, Sebastiano Panichella, Fabio Palomba, Harald C. Gall

Proceedings of the 25th International Conference on Software Analysis, 2018

How is video game development different from software development in open source?

Luca Pascarella, Fabio Palomba, Massimiliano Di Penta, Alberto Bacchelli

Proceedings of the 15th International Conference on Mining Software Repositories, 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

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Omniscient DevOps Analytics.

Damian Andrew Tamburri, Dario Di Nucci, Lucio Di Giacomo, Fabio Palomba

Proceedings of the Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, 2018

Continuous code quality: are we (really) doing that?

Carmine Vassallo, Fabio Palomba, Alberto Bacchelli, Harald C. Gall

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Mining file histories: should we consider branches?

Vladimir Kovalenko, Fabio Palomba, Alberto Bacchelli

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 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

Proceedings of the 26th Conference on Program Comprehension, 2018

Continuous Refactoring in CI: A Preliminary Study on the Perceived Advantages and Barriers.

Carmine Vassallo, Fabio Palomba, Harald C. Gall

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

On the Relation of Test Smells to Software Code Quality.

Davide Spadini, Fabio Palomba, Andy Zaidman, Magiel Bruntink, Alberto Bacchelli

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

Automatic Test Smell Detection Using Information Retrieval Techniques.

Fabio Palomba, Andy Zaidman, Andrea De Lucia

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

Self-reported activities of Android developers.

Luca Pascarella, Franz-Xaver Geiger, Fabio Palomba, Dario Di Nucci, Ivano Malavolta, Alberto Bacchelli

Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

How do community smells influence code smells?

Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Andy Zaidman, Francesca Arcelli Fontana, Rocco Oliveto

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction.

Dario Di Nucci, Fabio Palomba, Andrea De Lucia

Proceedings of the 6th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2018

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

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

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

Investigating code smell co-occurrences using association rule learning: A replicated study.

Fabio Palomba, Rocco Oliveto, Andrea De Lucia

Proceedings of the 2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, 2017

Lightweight detection of Android-specific code smells: The aDoctor project.

Fabio Palomba, Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia

Proceedings of the IEEE 24th International Conference on Software Analysis, 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

Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

An exploratory study on the relationship between changes and refactoring.

Fabio Palomba, Andy Zaidman, Rocco Oliveto, Andrea De Lucia

Proceedings of the 25th International Conference on Program Comprehension, 2017

Developer-related factors in change prediction: an empirical assessment.

Gemma Catolino, Fabio Palomba, Andrea De Lucia, Filomena Ferrucci, Andy Zaidman

Proceedings of the 25th International Conference on Program Comprehension, 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

Proceedings of the 39th International Conference on Software Engineering, 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

Proceedings of the 39th International Conference on Software Engineering, 2017

Social Debt Analytics for Improving the Management of Software Evolution Tasks.

Fabio Palomba, Alexander Serebrenik, Andy Zaidman

Proceedings of the 16th edition of the BElgian-NEtherlands software eVOLution symposium, 2017

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

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

A textual-based technique for Smell Detection.

Fabio Palomba, Annibale Panichella, Andrea De Lucia, Rocco Oliveto, Andy Zaidman

Proceedings of the 24th IEEE International Conference on Program Comprehension, 2016

Automatic test case generation: what if test code quality matters?

Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia

Proceedings of the 25th International Symposium on Software Testing and Analysis, 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

Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

Alternative Sources of Information for Code Smell Detection: Postcards from Far Away.

Fabio Palomba

Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

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

Proceedings of the 9th International Workshop on Search-Based Software Testing, 2016

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

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

Anti-Pattern Detection: Methods, Challenges, and Open Issues.

Fabio Palomba, Andrea De Lucia, Gabriele Bavota, Rocco Oliveto

Adv. Comput., 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

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 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

Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 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

Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 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

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Extract Package Refactoring in ARIES.

Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Textual Analysis for Code Smell Detection.

Fabio Palomba

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

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

Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014

2013

Detecting bad smells in source code using change history information.

Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

2012

Supporting extract class refactoring in Eclipse: The ARIES project.

Gabriele Bavota, Andrea De Lucia, Andrian Marcus, Rocco Oliveto, Fabio Palomba

Proceedings of the 34th International Conference on Software Engineering, 2012