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2020 – today
- 2025
[j83]Pir Bakhsh Khokhar, Carmine Gravino, Fabio Palomba:
Advances in artificial intelligence for diabetes prediction: insights from a systematic literature review. Artif. Intell. Medicine 164: 103132 (2025)- [j82]Stefano Lambiase
, Gemma Catolino, Fabio Palomba, Filomena Ferrucci:
Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review. ACM Comput. Surv. 57(4): 93:1-93:37 (2025) - [j81]Luana Almeida Martins, Valeria Pontillo, Heitor A. X. Costa, Filomena Ferrucci, Fabio Palomba, Ivan do Carmo Machado:
Test code refactoring unveiled: where and how does it affect test code quality and effectiveness? Empir. Softw. Eng. 30(1): 27 (2025) - [j80]Gabriele De Vito, Fabio Palomba, Filomena Ferrucci:
The role of Large Language Models in addressing IoT challenges: A systematic literature review. Future Gener. Comput. Syst. 171: 107829 (2025) - [j79]Vincenzo De Martino, Fabio Palomba:
Classification and challenges of non-functional requirements in ML-enabled systems: A systematic literature review. Inf. Softw. Technol. 181: 107678 (2025) - [j78]Gianmario Voria, Giulia Sellitto, Carmine Ferrara, Francesco Abate, Andrea De Lucia, Filomena Ferrucci, Gemma Catolino, Fabio Palomba:
Fairness-aware practices from developers' perspective: A survey. Inf. Softw. Technol. 182: 107710 (2025) - [j77]Valeria Pontillo, Luana Almeida Martins, Ivan do Carmo Machado, Fabio Palomba, Filomena Ferrucci:
An empirical investigation into the capabilities of anomaly detection approaches for test smell detection. J. Syst. Softw. 222: 112320 (2025) - [j76]Chakkrit Kla Tantithamthavorn, Fabio Palomba, Foutse Khomh, Joselito Joey Chua:
MLOps, LLMOps, FMOps, and Beyond. IEEE Softw. 42(1): 26-32 (2025) - [i37]Zadia Codabux, Fatemeh H. Fard, Roberto Verdecchia, Fabio Palomba, Dario Di Nucci, Gilberto Recupito:
Teaching Mining Software Repositories. CoRR abs/2501.01903 (2025) - [i36]Pir Bakhsh Khokhar, Viviana Pentangelo, Fabio Palomba, Carmine Gravino:
Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence. CoRR abs/2501.18071 (2025) - [i35]Quang-Cuong Bui, Emanuele Iannone, Maria Camporese, Torge Hinrichs, Catherine Tony, László Tóth, Fabio Palomba, Péter Hegedüs, Fabio Massacci, Riccardo Scandariato:
A Systematic Literature Review on Automated Exploit and Security Test Generation. CoRR abs/2502.04953 (2025) - [i34]Alessandra Parziale, Gianmario Voria, Giammaria Giordano, Gemma Catolino, Gregorio Robles, Fabio Palomba:
Contextual Fairness-Aware Practices in ML: A Cost-Effective Empirical Evaluation. CoRR abs/2503.15622 (2025) - [i33]Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Daniel Russo:
Exploring Individual Factors in the Adoption of LLMs for Specific Software Engineering Tasks. CoRR abs/2504.02553 (2025) - [i32]Antonio Della Porta, Stefano Lambiase, Fabio Palomba:
Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code. CoRR abs/2504.13656 (2025) - [i31]Giusy Annunziata, Stefano Lambiase, Fabio Palomba, Gemma Catolino, Filomena Ferrucci:
How Do Communities of ML-Enabled Systems Smell? A Cross-Sectional Study on the Prevalence of Community Smells. CoRR abs/2504.17419 (2025) - 2024
- [j75]Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba, Mohammed Awad:
FedCSD: A Federated Learning Based Approach for Code-Smell Detection. IEEE Access 12: 44888-44904 (2024) - [j74]Angelo Afeltra, Alfonso Cannavale, Fabiano Pecorelli, Valeria Pontillo, Fabio Palomba:
A Large-Scale Empirical Investigation Into Cross-Project Flaky Test Prediction. IEEE Access 12: 131255-131265 (2024) - [j73]Carmine Ferrara, Giulia Sellitto, Filomena Ferrucci, Fabio Palomba, Andrea De Lucia:
Fairness-aware machine learning engineering: how far are we? Empir. Softw. Eng. 29(1): 9 (2024) - [j72]Giammaria Giordano, Gerardo Festa, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Carmine Gravino:
On the adoption and effects of source code reuse on defect proneness and maintenance effort. Empir. Softw. Eng. 29(1): 20 (2024) - [j71]Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba:
Machine learning-based test smell detection. Empir. Softw. Eng. 29(2): 55 (2024) - [j70]Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
An empirical study into the effects of transpilation on quantum circuit smells. Empir. Softw. Eng. 29(3): 61 (2024) - [j69]Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia:
Toward granular search-based automatic unit test case generation. Empir. Softw. Eng. 29(4): 71 (2024) - [j68]Valeria Pontillo, Fabio Palomba, Filomena Ferrucci:
Test Code Flakiness in Mobile Apps: The Developer's Perspective. Inf. Softw. Technol. 168: 107394 (2024) - [j67]Viviana Pentangelo, Dario Di Dario, Stefano Lambiase, Filomena Ferrucci, Carmine Gravino, Fabio Palomba:
SENEM: A software engineering-enabled educational metaverse. Inf. Softw. Technol. 174: 107512 (2024) - [j66]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
The quantum frontier of software engineering: A systematic mapping study. Inf. Softw. Technol. 175: 107525 (2024) - [j65]Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, Filomena Ferrucci:
An Empirical Investigation Into the Influence of Software Communities' Cultural and Geographical Dispersion on Productivity. J. Syst. Softw. 208: 111878 (2024) - [j64]Gilberto Recupito, Fabiano Pecorelli, Gemma Catolino, Valentina Lenarduzzi, Davide Taibi, Dario Di Nucci, Fabio Palomba:
Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture. J. Syst. Softw. 216: 112151 (2024) - [j63]Stefano Dalla Palma, Chiel van Asseldonk, Gemma Catolino, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri:
"Through the looking-glass ..." An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications. J. Softw. Evol. Process. 36(4) (2024) - [j62]Emanuele Iannone, Giulia Sellitto, Emanuele Iaccarino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be? ACM Trans. Softw. Eng. Methodol. 33(6): 146 (2024) - [c120]Gilberto Recupito, Raimondo Rapacciuolo, Dario Di Nucci, Fabio Palomba:
Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality. CAIN 2024: 53-63 - [c119]Giusy Annunziata, Alexandra Sheykina, Fabio Palomba, Andrea De Lucia, Gemma Catolino, Filomena Ferrucci:
Security Risk Assessment on Cloud: A Systematic Mapping Study. EASE 2024: 604-613 - [c118]Davide La Gamba, Gerardo Iuliano, Gilberto Recupito, Giammaria Giordano, Filomena Ferrucci, Dario Di Nucci, Fabio Palomba:
Toward a Search-Based Approach to Support the Design of Security Tests for Malicious Network Traffic. EASE 2024: 624-628 - [c117]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, Simone Scalabrino, Angelica Spina, Antonio Vitale:
Continuous Quality Improvement of AI-based Systems: the QualAI Project. ESEM 2024: 603-607 - [c116]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, Giordano d'Aloisio, Antinisca Di Marco:
FRINGE: context-aware FaiRness engineerING in complex software systEms. ESEM 2024: 608-612 - [c115]Gabriele De Vito, Gabriele Vassallo, Fabio Palomba, Filomena Ferrucci:
AGORA: An Approach for Generating Acceptance Test Cases from Use Cases. SEAA 2024: 126-133 - [c114]Giusy Annunziata, Carmine Ferrara, Stefano Lambiase, Fabio Palomba, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia:
An Empirical Study on the Relation Between Programming Languages and the Emergence of Community Smells. SEAA 2024: 268-275 - [c113]Gianmario Voria, Gemma Catolino, Fabio Palomba:
Is Attention All You Need? Toward a Conceptual Model for Social Awareness in Large Language Models. FORGE 2024: 69-73 - [c112]Stefano Lambiase, Gemma Catolino, Bice Della Piana, Filomena Ferrucci, Fabio Palomba:
Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice. ICSE (SEIS) 2024: 74-84 - [c111]Carmine Ferrara, Francesco Casillo, Carmine Gravino, Andrea De Lucia, Fabio Palomba:
ReFAIR: Toward a Context-Aware Recommender for Fairness Requirements Engineering. ICSE 2024: 213:1-213:12 - [c110]Giusy Annunziata, Stefano Lambiase, Fabio Palomba, Filomena Ferrucci:
SERGE - Serious Game for the Education of Risk Management in Software Project Management. SEET@ICSE 2024: 264-273 - [c109]Antonio Della Porta, Vincenzo De Martino, Gilberto Recupito, Carmine Iemmino, Gemma Catolino, Dario Di Nucci, Fabio Palomba:
Using Large Language Models to Support Software Engineering Documentation in Waterfall Life Cycles: Are We There Yet? Ital-IA 2024: 42-47 - [c108]Gabriele De Vito, Luigi Libero Lucio Starace, Sergio Di Martino, Filomena Ferrucci, Fabio Palomba:
Large Language Models in Software Engineering: A Focus on Issue Report Classification and User Acceptance Test Generation. Ital-IA 2024: 48-53 - [c107]Carmine Gravino, Alessandro Iannella, Mirko Marras, Silvio Marcello Pagliara, Fabio Palomba:
Teachers Interacting with Generative Artificial Intelligence: A Dual Responsibility. Ital-IA 2024: 83-88 - [c106]Sabato Nocera, Simone Romano, Dario Di Nucci, Rita Francese, Fabio Palomba, Giuseppe Scanniello:
Do Static Analysis Tools Improve Awareness and Attitude Toward Secure Software Development? QUATIC 2024: 399-407 - [c105]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, Simone Scalabrino, Angelica Spina, Antonio Vitale:
QualAI: Continuous Quality Improvement of AI-based Systems. RCIS Workshops 2024 - [c104]Dario Di Dario, Viviana Pentangelo, Maria Immacolata Colella, Fabio Palomba, Carmine Gravino:
Collecting and Implementing Ethical Guidelines for Emotion Recognition in an Educational Metaverse. UMAP (Adjunct Publication) 2024 - [p2]Zadia Codabux, Fatemeh H. Fard, Roberto Verdecchia, Fabio Palomba, Dario Di Nucci, Gilberto Recupito:
Teaching Mining Software Repositories. Handbook on Teaching Empirical Software Engineering 2024: 325-362 - [p1]Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Davide Taibi, Dario Di Nucci, Andrea De Lucia:
Quantum Software Engineering Issues and Challenges: Insights from Practitioners. Quantum Software 2024: 337-355 - [e3]Fabio Palomba, Carmine Gravino:
Artificial Intelligence with and for Learning Sciences. Past, Present, and Future Horizons - First Workshop, WAILS 2024, Salerno, Italy, January 18-19, 2024, Proceedings. Lecture Notes in Computer Science 14545, Springer 2024, ISBN 978-3-031-57401-6 [contents] - [i30]Gilberto Recupito, Giammaria Giordano, Filomena Ferrucci, Dario Di Nucci, Fabio Palomba:
When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems. CoRR abs/2403.08311 (2024) - [i29]Mikel Robredo, Matteo Esposito, Fabio Palomba, Rafael Peñaloza, Valentina Lenarduzzi:
In Search of Metrics to Guide Developer-Based Refactoring Recommendations. CoRR abs/2407.18169 (2024) - [i28]Gianmario Voria, Giulia Sellitto, Carmine Ferrara, Francesco Abate, Andrea De Lucia, Filomena Ferrucci, Gemma Catolino, Fabio Palomba:
A Catalog of Fairness-Aware Practices in Machine Learning Engineering. CoRR abs/2408.16683 (2024) - [i27]Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Daniel Russo:
Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering. CoRR abs/2409.05055 (2024) - [i26]Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci:
Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review. CoRR abs/2409.11864 (2024) - [i25]Vincenzo De Martino, Silverio Martínez-Fernández, Fabio Palomba:
Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study. CoRR abs/2410.06708 (2024) - [i24]Vincenzo De Martino, Joel Castaño, Fabio Palomba, Xavier Franch, Silverio Martínez-Fernández:
Experiences from Using LLMs for Repository Mining Studies in Empirical Software Engineering. CoRR abs/2411.09974 (2024) - [i23]Gianmario Voria, Francesco Casillo, Carmine Gravino, Gemma Catolino, Fabio Palomba:
RECOVER: Toward the Automatic Requirements Generation from Stakeholders' Conversations. CoRR abs/2411.19552 (2024) - [i22]Gianmario Voria, Stefano Lambiase, Maria Concetta Schiavone, Gemma Catolino, Fabio Palomba:
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? CoRR abs/2412.13846 (2024) - [i21]Pir Bakhsh Khokhar, Carmine Gravino, Fabio Palomba:
Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review. CoRR abs/2412.14736 (2024) - [i20]Gianmario Voria, Rebecca Di Matteo, Giammaria Giordano, Gemma Catolino, Fabio Palomba:
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative? CoRR abs/2412.15920 (2024) - [i19]Dario Di Dario, Stefano Lambiase, Fabio Palomba, Carmine Gravino:
On the Impact of 3D Visualization of Repository Metrics in Software Engineering Education. CoRR abs/2412.16061 (2024) - 2023
- [j61]Morteza Zakeri Nasrabadi, Saeed Parsa, Ehsan Esmaili, Fabio Palomba:
A Systematic Literature Review on the Code Smells Datasets and Validation Mechanisms. ACM Comput. Surv. 55(13s): 298:1-298:48 (2023) - [j60]Emanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, Andrea De Lucia, Fabio Palomba:
Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security. Empir. Softw. Eng. 28(4): 89 (2023) - [j59]Valentina Lenarduzzi, Fabiano Pecorelli, Nyyti Saarimäki, Savanna Lujan, Fabio Palomba:
A critical comparison on six static analysis tools: Detection, agreement, and precision. J. Syst. Softw. 198: 111575 (2023) - [j58]Xiaozhou Li, Sergio Moreschini, Zheying Zhang, Fabio Palomba, Davide Taibi:
The anatomy of a vulnerability database: A systematic mapping study. J. Syst. Softw. 201: 111679 (2023) - [j57]Michael Felderer, Valentina Lenarduzzi, Fabio Palomba, Fabiano Pecorelli:
Introduction to the Software Quality for Artificial Intelligence (SQA4AI) special issue. Sci. Comput. Program. 229: 102975 (2023) - [j56]Michael Felderer, Davide Taibi, Fabio Palomba, Michael Epping, Malte Lochau, Benjamin Weder:
Software Engineering Challenges for Quantum Computing: Report from the First Working Seminar on Quantum Software Engineering (WSQSE 22). ACM SIGSOFT Softw. Eng. Notes 48(2): 29-32 (2023) - [j55]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:
QuantuMoonLight: A low-code platform to experiment with quantum machine learning. SoftwareX 22: 101399 (2023) - [j54]Emanuele Iannone, Roberta Guadagni, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study. IEEE Trans. Software Eng. 49(1): 44-63 (2023) - [c103]Gabriele De Vito, Fabio Palomba, Carmine Gravino, Sergio Di Martino, Filomena Ferrucci:
ECHO: An Approach to Enhance Use Case Quality Exploiting Large Language Models. SEAA 2023: 53-60 - [c102]Dario Di Dario, Umberto Bilotti, Maurizio Sibilio, Carmine Gravino, Fabio Palomba:
Toward a Secure Educational Metaverse: A Tale of Blockchain Design for Educational Environments. SEAA 2023: 159-166 - [c101]Dario Di Dario, Valeria Pontillo, Stefano Lambiase, Filomena Ferrucci, Fabio Palomba:
Security Testing in The Wild: An Interview Study. SEAA 2023: 191-198 - [c100]Giammaria Giordano, Giulia Sellitto, Aurelio Sepe, Fabio Palomba, Filomena Ferrucci:
The Yin and Yang of Software Quality: On the Relationship between Design Patterns and Code Smells. SEAA 2023: 227-234 - [c99]Gabriele De Vito, Stefano Lambiase, Fabio Palomba, Filomena Ferrucci:
Meet C4SE: Your New Collaborator for Software Engineering Tasks. SEAA 2023: 235-238 - [c98]Umberto Bilotti, Dario Di Dario, Fabio Palomba, Carmine Gravino, Maurizio Sibilio:
Machine Learning for Educational Metaverse: How Far Are We? ICCE 2023: 1-2 - [c97]Giammaria Giordano, Giusy Annunziata, Andrea De Lucia, Fabio Palomba:
Understanding Developer Practices and Code Smells Diffusion in AI-Enabled Software: A Preliminary Study. IWSM-Mensura 2023 - [c96]Giulia Sellitto, Alexandra Sheykina, Fabio Palomba, Andrea De Lucia:
An Empirical Study on the Performance of Vulnerability Prediction Models Evaluated Applying Real-world Labelling. IWSM-Mensura 2023 - [c95]Giammaria Giordano, Valeria Pontillo, Giusy Annunziata, Antonio Cimino, Filomena Ferrucci, Fabio Palomba:
How May Deep Learning Testing Inform Model Generalizability? The Case of Image Classification. SATToSE 2023: 40-47 - [c94]Luana Almeida Martins, Heitor A. X. Costa, Márcio Ribeiro, Fabio Palomba, Ivan Machado:
Automating Test-Specific Refactoring Mining: A Mixed-Method Investigation. SCAM 2023: 13-24 - [i18]Sergio Moreschini, Gilberto Recupito, Valentina Lenarduzzi, Fabio Palomba, David Hästbacka, Davide Taibi:
Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review. CoRR abs/2304.03254 (2023) - [i17]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
The Quantum Frontier of Software Engineering: A Systematic Mapping Study. CoRR abs/2305.19683 (2023) - [i16]Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba:
FedCSD: A Federated Learning Based Approach for Code-Smell Detection. CoRR abs/2306.00038 (2023) - [i15]Morteza Zakeri Nasrabadi, Saeed Parsa, Ehsan Esmaili, Fabio Palomba:
A systematic literature review on the code smells datasets and validation mechanisms. CoRR abs/2306.01377 (2023) - [i14]Luana Almeida Martins, Valeria Pontillo, Heitor A. X. Costa, Filomena Ferrucci, Fabio Palomba, Ivan Machado:
Test Code Refactoring Unveiled: Where and How Does It Affect Test Code Quality and Effectiveness? CoRR abs/2308.09547 (2023) - [i13]Vincenzo De Martino, Fabio Palomba:
Classification, Challenges, and Automated Approaches to Handle Non-Functional Requirements in ML-Enabled Systems: A Systematic Literature Review. CoRR abs/2311.17483 (2023) - 2022
- [j53]Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
Software testing and Android applications: a large-scale empirical study. Empir. Softw. Eng. 27(2): 31 (2022) - [j52]Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, Fabio Palomba, Andrea De Lucia:
On the adequacy of static analysis warnings with respect to code smell prediction. Empir. Softw. Eng. 27(3): 64 (2022) - [j51]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection. Empir. Softw. Eng. 27(6): 124 (2022) - [j50]Marianna Di Gregorio, Dario Di Nucci, Fabio Palomba, Giuliana Vitiello:
The making of accessible Android applications: an empirical study on the state of the practice. Empir. Softw. Eng. 27(6): 145 (2022) - [j49]Nemania Borovits, Indika Kumara, Dario Di Nucci, Parvathy Krishnan, Stefano Dalla Palma, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel:
FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code. Empir. Softw. Eng. 27(7): 178 (2022) - [j48]Valeria Pontillo, Fabio Palomba, Filomena Ferrucci:
Static test flakiness prediction: How Far Can We Go? Empir. Softw. Eng. 27(7): 187 (2022) - [j47]Francesco Lomio, Emanuele Iannone, Andrea De Lucia, Fabio Palomba, Valentina Lenarduzzi:
Just-in-time software vulnerability detection: Are we there yet? J. Syst. Softw. 188: 111283 (2022) - [j46]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Software engineering for quantum programming: How far are we? J. Syst. Softw. 190: 111326 (2022) - [j45]Giammaria Giordano, Fabio Palomba, Filomena Ferrucci:
On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review. J. Syst. Softw. 193: 111475 (2022) - [j44]Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri:
Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics. IEEE Trans. Software Eng. 48(6): 2086-2104 (2022) - [c93]Gilberto Recupito, Fabiano Pecorelli, Gemma Catolino, Sergio Moreschini, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri:
A Multivocal Literature Review of MLOps Tools and Features. SEAA 2022: 84-91 - [c92]Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, Filomena Ferrucci:
"There and Back Again?" On the Influence of Software Community Dispersion Over Productivity. SEAA 2022: 177-184 - [c91]Giammaria Giordano, Fabio Palomba, Filomena Ferrucci:
A Preliminary Conceptualization and Analysis on Automated Static Analysis Tools for Vulnerability Detection in Android Apps. SEAA 2022: 201-208 - [c90]Francesco Lomio, Luca Pascarella, Fabio Palomba, Valentina Lenarduzzi:
Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction. SEAA 2022: 270-273 - [c89]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
A bi-level evolutionary approach for the multi-label detection of smelly classes. GECCO Companion 2022: 782-785 - [c88]Simone Avolicino, Marianna Di Gregorio, Fabio Palomba, Marco Romano, Monica Sebillo, Giuliana Vitiello:
AI-Based Emotion Recognition to Study Users' Perception of Dark Patterns. HCI (41) 2022: 185-203 - [c87]Stefano Lambiase, Gemma Catolino, Damian A. Tamburri, Alexander Serebrenik, Fabio Palomba, Filomena Ferrucci:
Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells. ICSE-SEIS 2022: 67-78 - [c86]Haris Mumtaz, Carlos V. Paradis, Fabio Palomba, Damian A. Tamburri, Rick Kazman, Kelly Blincoe:
A Preliminary Study on the Assignment of GitHub Issues to Issue Commenters and the Relationship with Social Smells. CHASE@ICSE 2022: 61-65 - [c85]Gianmario Voria, Viviana Pentangelo, Antonio Della Porta, Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci:
Community Smell Detection and Refactoring in SLACK: The CADOCS Project. ICSME 2022: 469-473 - [c84]Emanuele Iannone, Fabio Palomba:
The Phantom Menace: Unmasking Security Issues in Evolving Software. ICSME 2022: 612-616 - [c83]Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Davide Taibi, Andrea De Lucia:
Towards Quantum-algorithms-as-a-service. QP4SE@ESEC/SIGSOFT FSE 2022: 7-10 - [c82]Giuseppe Cascavilla, Gemma Catolino, Fabio Palomba, Andreas S. Andreou, Damian A. Tamburri, Willem-Jan van den Heuvel:
Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation - A Case Study in the Netherlands. SummerSOC 2022: 79-98 - [c81]Camila Sarmento, Tiago Massoni, Alexander Serebrenik, Gemma Catolino, Damian A. Tamburri, Fabio Palomba:
Gender Diversity and Community Smells: A Double-Replication Study on Brazilian Software Teams. SANER 2022: 273-283 - [c80]Giulia Sellitto, Emanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, Andrea De Lucia, Fabio Palomba, Filomena Ferrucci:
Toward Understanding the Impact of Refactoring on Program Comprehension. SANER 2022: 731-742 - [c79]Giammaria Giordano, Antonio Fasulo, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Carmine Gravino:
On the Evolution of Inheritance and Delegation Mechanisms and Their Impact on Code Quality. SANER 2022: 947-958 - [i12]Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Software Engineering for Quantum Programming: How Far Are We? CoRR abs/2203.16969 (2022) - [i11]Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia:
Toward Granular Automatic Unit Test Case Generation. CoRR abs/2204.05561 (2022) - [i10]Giammaria Giordano, Gerardo Festa, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Carmine Gravino:
On the Adoption and Effects of Source Code Reuse on Defect Proneness and Maintenance Effort. CoRR abs/2208.07471 (2022) - [i9]Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba:
Machine Learning-Based Test Smell Detection. CoRR abs/2208.07574 (2022) - 2021
- [j43]Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia:
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems. Empir. Softw. Eng. 26(2): 18 (2021) - [j42]Sofien Boutaib, Slim Bechikh, Fabio Palomba, Maha Elarbi, Mohamed Makhlouf, Lamjed Ben Said:
Code smell detection and identification in imbalanced environments. Expert Syst. Appl. 166: 114076 (2021) - [j41]Indika Kumara, Martin Garriga, Angel Urbano Romeu, Dario Di Nucci, Fabio Palomba, Damian Andrew Tamburri, Willem-Jan van den Heuvel:
The do's and don'ts of infrastructure code: A systematic gray literature review. Inf. Softw. Technol. 137: 106593 (2021) - [j40]Islem Saidani, Ali Ouni, Mohamed Wiem Mkaouer, Fabio Palomba:
On the impact of Continuous Integration on refactoring practice: An exploratory study on TravisTorrent. Inf. Softw. Technol. 138: 106618 (2021) - [j39]Fabio Palomba, Damian Andrew Tamburri:
Predicting the emergence of community smells using socio-technical metrics: A machine-learning approach. J. Syst. Softw. 171: 110847 (2021) - [j38]Damian A. Tamburri, Fabio Palomba:
Evolving software forges: An experience report from Apache Allura. J. Softw. Evol. Process. 33(12) (2021) - [j37]Damian A. Tamburri, Fabio Palomba, Rick Kazman:
Success and Failure in Software Engineering: A Followup Systematic Literature Review. IEEE Trans. Engineering Management 68(2): 599-611 (2021) - [j36]Fabio Palomba, Damian Andrew Tamburri, Francesca Arcelli Fontana, Rocco Oliveto, Andy Zaidman, Alexander Serebrenik:
Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells? IEEE Trans. Software Eng. 47(1): 108-129 (2021) - [j35]Damian A. Tamburri, Fabio Palomba, Rick Kazman:
Exploring Community Smells in Open-Source: An Automated Approach. IEEE Trans. Software Eng. 47(3): 630-652 (2021) - [j34]Giovanni Grano, Fabio Palomba, Harald C. Gall:
Lightweight Assessment of Test-Case Effectiveness Using Source-Code-Quality Indicators. IEEE Trans. Software Eng. 47(4): 758-774 (2021) - [c78]Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik:
Understanding Community Smells Variability: A Statistical Approach. ICSE-SEIS 2021: 77-86 - [c77]Gemma Catolino, Fabio Palomba, Damian Andrew Tamburri, Alexander Serebrenik:
Understanding Community Smells Variability: A Statistical Approach: Replication Package Instructions. ICSE (Companion Volume) 2021: 196-197 - [c76]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection. QRS 2021: 574-585 - [c75]Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia:
Comparing within- and cross-project machine learning algorithms for code smell detection. MaLTeSQuE@ESEC/SIGSOFT FSE 2021: 1-6 - [c74]Valeria Pontillo, Fabio Palomba, Filomena Ferrucci:
Toward static test flakiness prediction: a feasibility study. MaLTeSQuE@ESEC/SIGSOFT FSE 2021: 19-24 - [i8]Valentina Lenarduzzi, Savanna Lujan, Nyyti Saarimäki, Fabio Palomba:
A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision. CoRR abs/2101.08832 (2021) - 2020
- [j33]Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci:
Improving change prediction models with code smell-related information. Empir. Softw. Eng. 25(1): 49-95 (2020) - [j32]Carmine Vassallo, Sebastiano Panichella, Fabio Palomba, Sebastian Proksch, Harald C. Gall, Andy Zaidman:
How developers engage with static analysis tools in different contexts. Empir. Softw. Eng. 25(2): 1419-1457 (2020) - [j31]Pasquale Salza, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, Filomena Ferrucci:
Third-party libraries in mobile apps. Empir. Softw. Eng. 25(3): 2341-2377 (2020) - [j30]Fabio Palomba, Andy Zaidman:
Retraction Note: Retraction note to: The smell of fear: on the relation between test smells and flaky tests. Empir. Softw. Eng. 25(4): 3041 (2020) - [j29]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
On the performance of method-level bug prediction: A negative result. J. Syst. Softw. 161 (2020) - [j28]Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian Andrew Tamburri:
Toward a catalog of software quality metrics for infrastructure code. J. Syst. Softw. 170: 110726 (2020) - [j27]Francesca Arcelli Fontana, Gilles Perrouin, Apostolos Ampatzoglou, Mathieu Acher, Bartosz Walter, Maxime Cordy, Fabio Palomba, Xavier Devroey:
MALTESQUE 2019 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 45(1): 34-35 (2020) - [j26]Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci:
Gender Diversity and Community Smells: Insights From the Trenches. IEEE Softw. 37(1): 10-16 (2020) - [j25]Damian Andrew Tamburri, Kelly Blincoe, Fabio Palomba, Rick Kazman:
"The Canary in the Coal Mine..." A cautionary tale from the decline of SourceForge. Softw. Pract. Exp. 50(10): 1930-1951 (2020) - [c73]Giuseppe Cascavilla, Johann Slabber, Fabio Palomba, Dario Di Nucci, Damian A. Tamburri, Willem-Jan van den Heuvel:
Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach. AVI 2020: 52:1-52:5 - [c72]Manuel De Stefano, Michele Simone Gambardella, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia:
cASpER: A Plug-in for Automated Code Smell Detection and Refactoring. AVI 2020: 79:1-79:3 - [c71]Fabiano Pecorelli, Gianluca Di Lillo, Fabio Palomba, Andrea De Lucia:
VITRuM: A Plug-In for the Visualization of Test-Related Metrics. AVI 2020: 101:1-101:3 - [c70]Linda Di Geronimo, Larissa Braz, Enrico Fregnan, Fabio Palomba, Alberto Bacchelli:
UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception. CHI 2020: 1-14 - [c69]Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci:
Refactoring community smells in the wild: the practitioner's field manual. ICSE-SEIS 2020: 25-34 - [c68]Anthony Peruma, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, Fabio Palomba:
An Exploratory Study on the Refactoring of Unit Test Files in Android Applications. ICSE (Workshops) 2020: 350-357 - [c67]Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia:
Splicing Community Patterns and Smells: A Preliminary Study. ICSE (Workshops) 2020: 703-710 - [c66]Giovanni Grano, Cristian De Iaco, Fabio Palomba, Harald C. Gall:
Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality. ICSME 2020: 336-347 - [c65]Manuel De Stefano, Fabiano Pecorelli, Damian Andrew Tamburri, Fabio Palomba, Andrea De Lucia:
Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence. ICSME 2020: 794-796 - [c64]Marianna Di Gregorio, Dario Di Nucci, Fabio Palomba, Giuliana Vitiello:
The Making of Accessible Android Applications: An Empirical Study on the State of the Practice. ICSME 2020: 857-861 - [c63]Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba:
Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps. ICPC 2020: 296-307 - [c62]Stefano Lambiase, Andrea Cupito, Fabiano Pecorelli, Andrea De Lucia, Fabio Palomba:
Just-In-Time Test Smell Detection and Refactoring: The DARTS Project. ICPC 2020: 441-445 - [c61]Valentina Lenarduzzi, Fabio Palomba, Davide Taibi, Damian Andrew Tamburri:
OpenSZZ: A Free, Open-Source, Web-Accessible Implementation of the SZZ Algorithm. ICPC 2020: 446-450 - [c60]Emanuele Iannone, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Refactoring Android-specific Energy Smells: A Plugin for Android Studio. ICPC 2020: 451-455 - [c59]Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia:
Developer-Driven Code Smell Prioritization. MSR 2020: 220-231 - [c58]Savanna Lujan, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia, Valentina Lenarduzzi:
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction. MaLTeSQuE@ESEC/SIGSOFT FSE 2020: 1-6 - [c57]Nemania Borovits, Indika Kumara, Parvathy Krishnan, Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel:
DeepIaC: deep learning-based linguistic anti-pattern detection in IaC. MaLTeSQuE@ESEC/SIGSOFT FSE 2020: 7-12 - [c56]Martin Steinhauer, Fabio Palomba:
Speeding up the data extraction of machine learning approaches: a distributed framework. MaLTeSQuE@ESEC/SIGSOFT FSE 2020: 13-18 - [c55]Anthony Peruma, Khalid Almalki, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, Fabio Palomba:
tsDetect: an open source test smells detection tool. ESEC/SIGSOFT FSE 2020: 1650-1654 - [d9]Giovanni Grano, Cristian De Iaco, Fabio Palomba, Harald C. Gall:
Replication package for "Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality". Zenodo, 2020
- [d8]Luca Pascarella, Davide Spadini, Fabio Palomba, Alberto Bacchelli:
Dataset of the paper "Information Needs in Contemporary Code Review". Zenodo, 2020 - [i7]Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri:
Towards a Catalogue of Software Quality Metrics for Infrastructure Code. CoRR abs/2005.13474 (2020) - [i6]Damian A. Tamburri, Fabio Palomba, Rick Kazman:
Success and Failure in Software Engineering: a Followup Systematic Literature Review. CoRR abs/2006.12086 (2020) - [i5]Nemania Borovits, Indika Kumara, Parvathy Krishnan, Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel:
DeepIaC: Deep Learning-Based Linguistic Anti-pattern Detection in IaC. CoRR abs/2009.10801 (2020)
2010 – 2019
- 2019
- [j24]Damian A. Tamburri, Fabio Palomba, Alexander Serebrenik, Andy Zaidman:
Discovering community patterns in open-source: a systematic approach and its evaluation. Empir. Softw. Eng. 24(3): 1369-1417 (2019) - [j23]Sebastiano Panichella, Fabio Palomba, David Lo, Meiyappan Nagappan:
Guest Editorial: Special Issue on Software Engineering for Mobile Applications. Empir. Softw. Eng. 24(6): 3249-3254 (2019) - [j22]Fabio Palomba, Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
On the impact of code smells on the energy consumption of mobile applications. Inf. Softw. Technol. 105: 43-55 (2019) - [j21]Enrico Fregnan, Tobias Baum, Fabio Palomba, Alberto Bacchelli:
A survey on software coupling relations and tools. Inf. Softw. Technol. 107: 159-178 (2019) - [j20]Muhammad Ilyas Azeem, Fabio Palomba, Lin Shi, Qing Wang:
Machine learning techniques for code smell detection: A systematic literature review and meta-analysis. Inf. Softw. Technol. 108: 115-138 (2019) - [j19]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Fine-grained just-in-time defect prediction. J. Syst. Softw. 150: 22-36 (2019) - [j18]Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci:
Not all bugs are the same: Understanding, characterizing, and classifying bug types. J. Syst. Softw. 152: 165-181 (2019) - [j17]Giovanni Grano, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, Harald C. Gall:
Scented since the beginning: On the diffuseness of test smells in automatically generated test code. J. Syst. Softw. 156: 312-327 (2019) - [j16]Carmine Vassallo, Giovanni Grano, Fabio Palomba, Harald C. Gall, Alberto Bacchelli:
A large-scale empirical exploration on refactoring activities in open source software projects. Sci. Comput. Program. 180: 1-15 (2019) - [j15]Apostolos Ampatzoglou, Francesca Arcelli Fontana, Fabio Palomba, Bartosz Walter:
Introduction to the special issue on "Machine Learning Techniques for Software Quality Evaluation". J. Softw. Evol. Process. 31(9) (2019) - [j14]Fabio Palomba, Marco Zanoni, Francesca Arcelli Fontana, Andrea De Lucia, Rocco Oliveto:
Toward a Smell-Aware Bug Prediction Model. IEEE Trans. Software Eng. 45(2): 194-218 (2019) - [c54]Gemma Catolino, Fabio Palomba, Damian A. Tamburri:
The Secret Life of Software Communities: What we Know and What we Don't Know. BENEVOL 2019 - [c53]Fabio Palomba:
Flaky Tests: Problems, Solutions, and Challenges. BENEVOL 2019 - [c52]Anthony Peruma, Khalid Almalki, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni, Fabio Palomba:
On the distribution of test smells in open source Android applications: an exploratory study. CASCON 2019: 193-202 - [c51]Pavlina Wurzelová, Fabio Palomba, Alberto Bacchelli:
Characterizing women (not) contributing to open-source. GE@ICSE 2019: 5-8 - [c50]Gemma Catolino, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Filomena Ferrucci:
Gender diversity and women in software teams: how do they affect community smells? ICSE-SEIS 2019: 11-20 - [c49]Davide Spadini, Fabio Palomba, Tobias Baum, Stefan Hanenberg, Magiel Bruntink, Alberto Bacchelli:
Test-driven code review: an empirical study. ICSE 2019: 1061-1072 - [c48]Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci:
How the Experience of Development Teams Relates to Assertion Density of Test Classes. ICSME 2019: 223-234 - [c47]Michele Guerriero, Martin Garriga, Damian A. Tamburri, Fabio Palomba:
Adoption, Support, and Challenges of Infrastructure-as-Code: Insights from Industry. ICSME 2019: 580-589 - [c46]Fabiano Pecorelli, Fabio Palomba, Dario Di Nucci, Andrea De Lucia:
Comparing heuristic and machine learning approaches for metric-based code smell detection. ICPC 2019: 93-104 - [c45]Domenico Serra, Giovanni Grano, Fabio Palomba, Filomena Ferrucci, Harald C. Gall, Alberto Bacchelli:
On the effectiveness of manual and automatic unit test generation: ten years later. MSR 2019: 121-125 - [c44]Mariaclaudia Nicolai, Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Healthcare Android apps: a tale of the customers' perspective. WAMA@ESEC/SIGSOFT FSE 2019: 33-39 - [c43]Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli:
Understanding flaky tests: the developer's perspective. ESEC/SIGSOFT FSE 2019: 830-840 - [e2]Francesca Arcelli Fontana, Bartosz Walter, Apostolos Ampatzoglou, Fabio Palomba, Gilles Perrouin, Mathieu Acher, Maxime Cordy, Xavier Devroey:
Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 27, 2019. ACM 2019, ISBN 978-1-4503-6855-1 [contents] - [d7]Giovanni Grano, Fabio Palomba, Harald C. Gall:
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators - Replication Package. Zenodo, 2019 - [d6]Giovanni Grano, Fabio Palomba, Dario Di Nucci, Andrea De Lucia, Harald C. Gall:
Online Appendix - Scented Since the Beginning: On the Diffuseness of Test Smells in Automatically Generated Test Code. Zenodo, 2019 - [i4]Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, Andrea De Lucia, Andy Zaidman, Filomena Ferrucci:
Improving Change Prediction Models with Code Smell-Related Information. CoRR abs/1905.10889 (2019) - [i3]Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli:
Understanding Flaky Tests: The Developer's Perspective. CoRR abs/1907.01466 (2019) - [i2]Gemma Catolino, Fabio Palomba, Andy Zaidman, Filomena Ferrucci:
Not All Bugs Are the Same: Understanding, Characterizing, and Classifying the Root Cause of Bugs. CoRR abs/1907.11031 (2019) - [i1]Luca Pascarella, Davide Spadini, Fabio Palomba, Alberto Bacchelli:
On The Effect Of Code Review On Code Smells. CoRR abs/1912.10098 (2019) - 2018
- [j13]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia:
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation. Empir. Softw. Eng. 23(3): 1188-1221 (2018) - [j12]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia:
A large-scale empirical study on the lifecycle of code smell co-occurrences. Inf. Softw. Technol. 99: 1-10 (2018) - [j11]Fabio Palomba, Mario Linares Vásquez, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia:
Crowdsourcing user reviews to support the evolution of mobile apps. J. Syst. Softw. 137: 143-162 (2018) - [j10]Gemma Catolino, Fabio Palomba, Andrea De Lucia, Filomena Ferrucci, Andy Zaidman:
Enhancing change prediction models using developer-related factors. J. Syst. Softw. 143: 14-28 (2018) - [j9]Luca Pascarella, Davide Spadini, Fabio Palomba, Magiel Bruntink, Alberto Bacchelli:
Information Needs in Contemporary Code Review. Proc. ACM Hum. Comput. Interact. 2(CSCW): 135:1-135:27 (2018) - [j8]Dario Di Nucci, Fabio Palomba, Giuseppe De Rosa, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia:
A Developer Centered Bug Prediction Model. IEEE Trans. Software Eng. 44(1): 5-24 (2018) - [j7]Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells. IEEE Trans. Software Eng. 44(10): 977-1000 (2018) - [c42]Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction. RAISE@ICSE 2018: 48-54 - [c41]Luca Pascarella, Franz-Xaver Geiger, Fabio Palomba, Dario Di Nucci, Ivano Malavolta, Alberto Bacchelli:
Self-reported activities of Android developers. MOBILESoft@ICSE 2018: 144-155 - [c40]Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Andy Zaidman, Francesca Arcelli Fontana, Rocco Oliveto:
How do community smells influence code smells? ICSE (Companion Volume) 2018: 240-241 - [c39]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Fausto Fasano, Rocco Oliveto, Andrea De Lucia:
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation. ICSE 2018: 482 - [c38]Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
The scent of a smell: an extensive comparison between textual and structural smells. ICSE 2018: 740 - [c37]Davide Spadini, Fabio Palomba, Andy Zaidman, Magiel Bruntink, Alberto Bacchelli:
On the Relation of Test Smells to Software Code Quality. ICSME 2018: 1-12 - [c36]Fabio Palomba, Andy Zaidman, Andrea De Lucia:
Automatic Test Smell Detection Using Information Retrieval Techniques. ICSME 2018: 311-322 - [c35]Carmine Vassallo, Fabio Palomba, Harald C. Gall:
Continuous Refactoring in CI: A Preliminary Study on the Perceived Advantages and Barriers. ICSME 2018: 564-568 - [c34]Pasquale Salza, Fabio Palomba, Dario Di Nucci, Cosmo D'Uva, Andrea De Lucia, Filomena Ferrucci:
Do developers update third-party libraries in mobile apps? ICPC 2018: 255-265 - [c33]Vladimir Kovalenko, Fabio Palomba, Alberto Bacchelli:
Mining file histories: should we consider branches? ASE 2018: 202-213 - [c32]Carmine Vassallo, Fabio Palomba, Alberto Bacchelli, Harald C. Gall:
Continuous code quality: are we (really) doing that? ASE 2018: 790-795 - [c31]Damian Andrew Tamburri, Dario Di Nucci, Lucio Di Giacomo, Fabio Palomba:
Omniscient DevOps Analytics. DEVOPS 2018: 48-59 - [c30]Franz-Xaver Geiger, Ivano Malavolta, Luca Pascarella, Fabio Palomba, Dario Di Nucci, Alberto Bacchelli:
A graph-based dataset of commit history of real-world Android apps. MSR 2018: 30-33 - [c29]Luca Pascarella, Fabio Palomba, Massimiliano Di Penta, Alberto Bacchelli:
How is video game development different from software development in open source? MSR 2018: 392-402 - [c28]Carmine Vassallo, Sebastiano Panichella, Fabio Palomba, Sebastian Proksch, Andy Zaidman, Harald C. Gall:
Context is king: The developer perspective on the usage of static analysis tools. SANER 2018: 38-49 - [c27]Giovanni Grano, Adelina Ciurumelea, Sebastiano Panichella, Fabio Palomba, Harald C. Gall:
Exploring the integration of user feedback in automated testing of Android applications. SANER 2018: 72-83 - [c26]Lucas Pelloni, Giovanni Grano, Adelina Ciurumelea, Sebastiano Panichella, Fabio Palomba, Harald C. Gall:
BECLoMA: Augmenting stack traces with user review information. SANER 2018: 522-526 - [c25]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Re-evaluating method-level bug prediction. SANER 2018: 592-601 - [c24]Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Alexander Serebrenik, Andrea De Lucia:
Detecting code smells using machine learning techniques: Are we there yet? SANER 2018: 612-621 - [e1]Francesca Arcelli Fontana, Bartosz Walter, Apostolos Ampatzoglou, Fabio Palomba:
2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@SANER 2018, Campobasso, Italy, March 20, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5920-5 [contents] - [d5]Vladimir Kovalenko, Fabio Palomba, Alberto Bacchelli:
Data and material for: "Mining file histories: should we consider branches?". Zenodo, 2018 - [d4]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
On the Performance of Method-Level Bug Prediction: A Negative Result. Appendix. Zenodo, 2018 - [d3]Luca Pascarella, Fabio Palomba, Alberto Bacchelli:
Fine-Grained Just-In-Time Defect Prediction - Appendix. Zenodo, 2018 - [d2]Luca Pascarella, Davide Spadini, Fabio Palomba, Magiel Bruntink, Alberto Bacchelli:
Information Needs in Contemporary Code Review - Appendix. Version 1. Zenodo, 2018 [all versions] - [d1]Luca Pascarella, Davide Spadini, Fabio Palomba, Magiel Bruntink, Alberto Bacchelli:
Information Needs in Contemporary Code Review - Appendix. Version 2. Zenodo, 2018 [all versions] - 2017
- [j6]Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk:
There and back again: Can you compile that snapshot? J. Softw. Evol. Process. 29(4) (2017) - [j5]Dario Di Nucci, Fabio Palomba, Rocco Oliveto, Andrea De Lucia:
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method. IEEE Trans. Emerg. Top. Comput. Intell. 1(3): 202-212 (2017) - [j4]Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk:
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away). IEEE Trans. Software Eng. 43(11): 1063-1088 (2017) - [c23]Fabio Palomba, Alexander Serebrenik, Andy Zaidman:
Social Debt Analytics for Improving the Management of Software Evolution Tasks. BENEVOL 2017: 18-21 - [c22]Dario Di Nucci, Fabio Palomba, Antonio Prota, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
PETrA: a software-based tool for estimating the energy profile of Android applications. ICSE (Companion Volume) 2017: 3-6 - [c21]Fabio Palomba, Pasquale Salza, Adelina Ciurumelea, Sebastiano Panichella, Harald C. Gall, Filomena Ferrucci, Andrea De Lucia:
Recommending and localizing change requests for mobile apps based on user reviews. ICSE 2017: 106-117 - [c20]Fabio Palomba, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
An exploratory study on the relationship between changes and refactoring. ICPC 2017: 176-185 - [c19]Gemma Catolino, Fabio Palomba, Andrea De Lucia, Filomena Ferrucci, Andy Zaidman:
Developer-related factors in change prediction: an empirical assessment. ICPC 2017: 186-195 - [c18]Fabio Palomba, Rocco Oliveto, Andrea De Lucia:
Investigating code smell co-occurrences using association rule learning: A replicated study. MaLTeSQuE 2017: 8-13 - [c17]Dario Di Nucci, Fabio Palomba, Antonio Prota, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
Software-based energy profiling of Android apps: Simple, efficient and reliable? SANER 2017: 103-114 - [c16]Fabio Palomba, Dario Di Nucci, Annibale Panichella, Andy Zaidman, Andrea De Lucia:
Lightweight detection of Android-specific code smells: The aDoctor project. SANER 2017: 487-491 - 2016
- [c15]Fabio Palomba, Dario Di Nucci, Annibale Panichella, Rocco Oliveto, Andrea De Lucia:
On the diffusion of test smells in automatically generated test code: an empirical study. SBST@ICSE 2016: 5-14 - [c14]Fabio Palomba, Marco Zanoni, Francesca Arcelli Fontana, Andrea De Lucia, Rocco Oliveto:
Smells Like Teen Spirit: Improving Bug Prediction Performance Using the Intensity of Code Smells. ICSME 2016: 244-255 - [c13]Fabio Palomba:
Alternative Sources of Information for Code Smell Detection: Postcards from Far Away. ICSME 2016: 636-640 - [c12]Fabio Palomba, Annibale Panichella, Andy Zaidman, Rocco Oliveto, Andrea De Lucia:
Automatic test case generation: what if test code quality matters? ISSTA 2016: 130-141 - [c11]Fabio Palomba, Annibale Panichella, Andrea De Lucia, Rocco Oliveto, Andy Zaidman:
A textual-based technique for Smell Detection. ICPC 2016: 1-10 - [c10]Michele Tufano, Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk:
An empirical investigation into the nature of test smells. ASE 2016: 4-15 - 2015
- [j3]Fabio Palomba, Andrea De Lucia, Gabriele Bavota, Rocco Oliveto:
Anti-Pattern Detection: Methods, Challenges, and Open Issues. Adv. Comput. 95: 201-238 (2015) - [j2]Gabriele Bavota, Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Fabio Palomba:
An experimental investigation on the innate relationship between quality and refactoring. J. Syst. Softw. 107: 1-14 (2015) - [j1]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia:
Mining Version Histories for Detecting Code Smells. IEEE Trans. Software Eng. 41(5): 462-489 (2015) - [c9]Michele Tufano, Fabio Palomba, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Andrea De Lucia, Denys Poshyvanyk:
When and Why Your Code Starts to Smell Bad. ICSE (1) 2015: 403-414 - [c8]Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia:
Extract Package Refactoring in ARIES. ICSE (2) 2015: 669-672 - [c7]Fabio Palomba:
Textual Analysis for Code Smell Detection. ICSE (2) 2015: 769-771 - [c6]Dario Di Nucci, Fabio Palomba, Sandro Siravo, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia:
On the role of developer's scattered changes in bug prediction. ICSME 2015: 241-250 - [c5]Fabio Palomba, Mario Linares Vásquez, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia:
User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps. ICSME 2015: 291-300 - [c4]Fabio Palomba, Dario Di Nucci, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia:
Landfill: An Open Dataset of Code Smells with Public Evaluation. MSR 2015: 482-485 - 2014
- [c3]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia:
Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells. ICSME 2014: 101-110 - 2013
- [c2]Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrea De Lucia, Denys Poshyvanyk:
Detecting bad smells in source code using change history information. ASE 2013: 268-278 - 2012
- [c1]Gabriele Bavota, Andrea De Lucia, Andrian Marcus, Rocco Oliveto, Fabio Palomba:
Supporting extract class refactoring in Eclipse: The ARIES project. ICSE 2012: 1419-1422
Coauthor Index
[j82] [j81] [j80] [j78] [j77] [i33] [i31] [j73] [j72] [j71] [j68] [j67] [j65] [j62] [c119] [c118] [c116] [c115] [c114] [c112] [c110] [c108] [i30] [i28] [i27] [i26] [j55] [j54] [c103] [c101] [c100] [c99] [c95] [i14] [j53] [j48] [j45] [c92] [c91] [c87] [c85] [c80] [c79] [i10] [i9] [c74] [j33] [j31] [j26] [c69] [c63] [j18] [c50] [c48] [c45] [i4] [i2] [j10] [c34] [c21] [c19]
[j78] [j73] [j70] [j69] [j66] [j62] [c119] [c114] [c111] [p1] [i28] [j60] [j54] [c97] [c96] [i17] [j53] [j52] [j47] [j46] [c83] [c80] [i12] [i11] [j43] [c75] [j33] [j31] [c72] [c71] [c67] [c65] [c63] [c62] [c60] [c59] [c58] [j22] [j17] [j14] [c46] [d6] [i4] [j13] [j12] [j11] [j10] [j8] [j7] [c42] [c39] [c38] [c36] [c34] [c24] [j6] [j5] [j4] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c12] [c11] [c10] [j3] [j2] [j1] [c9] [c8] [c6] [c5] [c4] [c3] [c2] [c1]
Damian A. Tamburri
aka: Damian Andrew Tamburri
aka: Damian Andrew Tamburri
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