Gabriele Bavota

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 183

Top Venues

Publications

Gabriele Bavota
AI-based Code Generation: Achievements and Open Problems. EASE (2024)
Matteo Ciniselli, Alberto Martin-Lopez, Gabriele Bavota
On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions. CoRR (2024)
Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota
Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study. MSR (2024)
Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota
Log statements generation via deep learning: Widening the support provided to developers. J. Syst. Softw. 210 (2024)
Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. ICSE (2024)
Rosalia Tufano, Ozren Dabic, Antonio Mastropaolo, Matteo Ciniselli, Gabriele Bavota
Code Review Automation: Strengths and Weaknesses of the State of the Art. IEEE Trans. Software Eng. 50 (2) (2024)
Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota
Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study. CoRR (2024)
Antonio Mastropaolo, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta
Toward Automatically Completing GitHub Workflows. ICSE (2024)
Yanfu Yan, Nathan Cooper, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk, Steve Rich
Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gabriele Bavota, Gerardo Canfora, Massimiliano Di Penta
How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study. ICPC (2024)
Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
Help Them Understand: Testing and Improving Voice User Interfaces. ACM Trans. Softw. Eng. Methodol. 33 (6) (2024)
Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. EASE (2024)
Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. CoRR (2024)
Rosalia Tufano, Ozren Dabic, Antonio Mastropaolo, Matteo Ciniselli, Gabriele Bavota
Code Review Automation: Strengths and Weaknesses of the State of the Art. CoRR (2024)
Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Towards Summarizing Code Snippets Using Pre-Trained Transformers. ICPC (2024)
Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Towards Summarizing Code Snippets Using Pre-Trained Transformers. CoRR (2024)
Matteo Ciniselli, Alberto Martin-Lopez, Gabriele Bavota
On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions. ICPC (2024)
Stefano Campanella, Emanuela Guglielmi, Rocco Oliveto, Gabriele Bavota, Simone Scalabrino
Towards the Automatic Replication of Gameplays to Support Game Debugging. FaSE4Games@SIGSOFT FSE (2024)
Olivier Nourry, Yutaro Kashiwa, Bin Lin, Gabriele Bavota, Michele Lanza, Yasutaka Kamei
The Human Side of Fuzzing: Challenges Faced by Developers during Fuzzing Activities. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
What Quality Aspects Influence the Adoption of Docker Images? ACM Trans. Softw. Eng. Methodol. 32 (6) (2023)
Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. CoRR (2023)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Automated variable renaming: are we there yet? Empir. Softw. Eng. 28 (2) (2023)
Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? ASE (2023)
Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. CoRR (2023)
Antonio Mastropaolo, Nathan Cooper, David Nader-Palacio, Simone Scalabrino, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Using Transfer Learning for Code-Related Tasks. IEEE Trans. Software Eng. 49 (4) (2023)
Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
Source Code Recommender Systems: The Practitioners' Perspective. ICSE (2023)
Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. ICSE (2023)
Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. ICSSP (2023)
Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. CoRR (2023)
Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota
Log Statements Generation via Deep Learning: Widening the Support Provided to Developers. CoRR (2023)
Emanuela Guglielmi, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
Using Gameplay Videos for Detecting Issues in Video Games. CoRR (2023)
Rosalia Tufano, Luca Pascarella, Gabriele Bavota
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. ICSE (2023)
Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto
A comprehensive evaluation of SZZ Variants through a developer-informed oracle. J. Syst. Softw. 202 (2023)
Rosalia Tufano, Luca Pascarella, Gabriele Bavota
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. CoRR (2023)
Alejandro Mazuera-Rozo, Camilo Escobar-Velásquez, Juan Espitia-Acero, Mario Linares-Vásquez, Gabriele Bavota
CONAN: Statically Detecting Connectivity Issues in Android Applications. ESEC/SIGSOFT FSE (2023)
Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
Source Code Recommender Systems: The Practitioners' Perspective. CoRR (2023)
Antonio Mastropaolo, Fiorella Zampetti, Massimiliano Di Penta, Gabriele Bavota
Toward Automatically Completing GitHub Workflows. CoRR (2023)
Emanuela Guglielmi, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
Using gameplay videos for detecting issues in video games. Empir. Softw. Eng. 28 (6) (2023)
Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? CoRR (2023)
Matteo Ciniselli, Luca Pascarella, Gabriele Bavota
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? MSR (2022)
Fengcai Wen, Csaba Nagy, Michele Lanza, Gabriele Bavota
Quick remedy commits and their impact on mining software repositories. Empir. Softw. Eng. 27 (1) (2022)
Matteo Ciniselli, Luca Pascarella, Gabriele Bavota
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? CoRR (2022)
Neil A. Ernst, Gabriele Bavota, Tim Menzies
AI-Driven Development Is Here: Should You Worry? IEEE Softw. 39 (2) (2022)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Automated Variable Renaming: Are We There Yet? CoRR (2022)
Camilo Escobar-Velásquez, Mario Linares-Vásquez, Gabriele Bavota, Michele Tufano, Kevin Moran, Massimiliano Di Penta, Christopher Vendome, Carlos Bernal-Cárdenas, Denys Poshyvanyk
Enabling Mutant Generation for Open- and Closed-Source Android Apps. IEEE Trans. Software Eng. 48 (2) (2022)
Jevgenija Pantiuchina, Bin Lin, Fiorella Zampetti, Massimiliano Di Penta, Michele Lanza, Gabriele Bavota
Why Do Developers Reject Refactorings in Open-Source Projects? ACM Trans. Softw. Eng. Methodol. 31 (2) (2022)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of Transformer Models for Code Completion. IEEE Trans. Software Eng. 48 (12) (2022)
Alejandro Mazuera-Rozo, Camilo Escobar-Velásquez, Juan Espitia-Acero, David Vega-Guzmán, Catia Trubiani, Mario Linares-Vásquez, Gabriele Bavota
Taxonomy of security weaknesses in Java and Kotlin Android apps. J. Syst. Softw. 187 (2022)
Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota
Using Reinforcement Learning for Load Testing of Video Games. CoRR (2022)
Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota
Using Reinforcement Learning for Load Testing of Video Games. ICSE (2022)
Bin Lin, Nathan Cassee, Alexander Serebrenik, Gabriele Bavota, Nicole Novielli, Michele Lanza
Opinion Mining for Software Development: A Systematic Literature Review. ACM Trans. Softw. Eng. Methodol. 31 (3) (2022)
Alejandro Mazuera-Rozo, Camilo Escobar-Velásquez, Juan Espitia-Acero, David Vega-Guzmán, Catia Trubiani, Mario Linares-Vásquez, Gabriele Bavota
Taxonomy of Security Weaknesses in Java and Kotlin Android Apps. CoRR (2022)
Camilo Escobar-Velásquez, Alejandro Mazuera-Rozo, Claudia Bedoya, Michael Osorio-Riaño, Mario Linares-Vásquez, Gabriele Bavota
Studying eventual connectivity issues in Android apps. Empir. Softw. Eng. 27 (1) (2022)
Alejandro Mazuera-Rozo, Camilo Escobar-Velásquez, Juan Espitia-Acero, Mario Linares-Vásquez, Gabriele Bavota
Detecting Connectivity Issues in Android Apps. SANER (2022)
Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota
Using Deep Learning to Generate Complete Log Statements. ICSE (2022)
Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota
Using Deep Learning to Generate Complete Log Statements. CoRR (2022)
Antonio Mastropaolo, Nathan Cooper, David Nader-Palacio, Simone Scalabrino, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Using Transfer Learning for Code-Related Tasks. CoRR (2022)
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota
Using Pre-Trained Models to Boost Code Review Automation. CoRR (2022)
Neil A. Ernst, Gabriele Bavota
AI-driven Development Is Here: Should You Worry? CoRR (2022)
Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
Sorry, I don't Understand: Improving Voice User Interface Testing. ASE (2022)
Alejandro Mazuera-Rozo, Camilo Escobar-Velásquez, Juan Espitia-Acero, Mario Linares-Vásquez, Gabriele Bavota
Detecting Connectivity Issues in Android Apps. CoRR (2022)
Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs. ICSME (2022)
Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs. CoRR (2022)
Emanuela Guglielmi, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto
Towards Using Gameplay Videos for Detecting Issues in Video Games. CoRR (2022)
Luca Traini, Daniele Di Pompeo, Michele Tucci, Bin Lin, Simone Scalabrino, Gabriele Bavota, Michele Lanza, Rocco Oliveto, Vittorio Cortellessa
How Software Refactoring Impacts Execution Time. ACM Trans. Softw. Eng. Methodol. 31 (2) (2022)
Olivier Nourry, Yutaro Kashiwa, Bin Lin, Gabriele Bavota, Michele Lanza, Yasutaka Kamei
AIP: Scalable and Reproducible Execution Traces in Energy Studies on Mobile Devices. ICSME (2022)
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota
Using Pre-Trained Models to Boost Code Review Automation. ICSE (2022)
Camilo Escobar-Velásquez, Alejandro Mazuera-Rozo, Claudia Bedoya, Michael Osorio-Riaño, Mario Linares-Vásquez, Gabriele Bavota
Studying Eventual Connectivity Issues in Android Apps. CoRR (2021)
Fengcai Wen, Valentina Ferrari, Emad Aghajani, Csaba Nagy, Michele Lanza, Gabriele Bavota
FeaRS: Recommending Complete Android Method Implementations. ICSME (2021)
Ozren Dabic, Emad Aghajani, Gabriele Bavota
Sampling Projects in GitHub for MSR Studies. CoRR (2021)
Fiorella Zampetti, Salvatore Geremia, Gabriele Bavota, Massimiliano Di Penta
CI/CD Pipelines Evolution and Restructuring: A Qualitative and Quantitative Study. ICSME (2021)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of BERT Models for Code Completion. CoRR (2021)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
An Empirical Study on Code Comment Completion. ICSME (2021)
Simone Scalabrino, Gabriele Bavota, Christopher Vendome, Mario Linares-Vásquez, Denys Poshyvanyk, Rocco Oliveto
Automatically Assessing Code Understandability. IEEE Trans. Software Eng. 47 (3) (2021)
Fengcai Wen, Emad Aghajani, Csaba Nagy, Michele Lanza, Gabriele Bavota
Siri, Write the Next Method. ICSE (2021)
Alejandro Mazuera-Rozo, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Gabriele Bavota
Shallow or Deep? An Empirical Study on Detecting Vulnerabilities using Deep Learning. ICPC (2021)
Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota
Towards Automating Code Review Activities. CoRR (2021)
Emad Aghajani, Gabriele Bavota, Mario Linares-Vásquez, Michele Lanza
Automated Documentation of Android Apps. IEEE Trans. Software Eng. 47 (1) (2021)
Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto
Evaluating SZZ Implementations Through a Developer-informed Oracle. ICSE (2021)
Ozren Dabic, Emad Aghajani, Gabriele Bavota
Sampling Projects in GitHub for MSR Studies. MSR (2021)
Yutaro Kashiwa, Kazuki Shimizu, Bin Lin, Gabriele Bavota, Michele Lanza, Yasutaka Kamei, Naoyasu Ubayashi
Does Refactoring Break Tests and to What Extent? ICSME (2021)
Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. CoRR (2021)
Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, Massimiliano Di Penta
Why Developers Refactor Source Code: A Mining-based Study. CoRR (2021)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of Transformer Models for Code Completion. CoRR (2021)
Alejandro Mazuera-Rozo, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Gabriele Bavota
Shallow or Deep? An Empirical Study on Detecting Vulnerabilities using Deep Learning. CoRR (2021)
Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. ICSE (2021)
Hassan Atwi, Bin Lin, Nikolaos Tsantalis, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi, Gabriele Bavota, Michele Lanza
PYREF: Refactoring Detection in Python Projects. SCAM (2021)
Simone Scalabrino, Antonio Mastropaolo, Gabriele Bavota, Rocco Oliveto
An Adaptive Search Budget Allocation Approach for Search-Based Test Case Generation. ACM Trans. Softw. Eng. Methodol. 30 (3) (2021)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of BERT Models for Code Completion. MSR (2021)
Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota
Towards Automating Code Review Activities. ICSE (2021)
Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto
Evaluating SZZ Implementations Through a Developer-informed Oracle. CoRR (2021)
Fengcai Wen, Emad Aghajani, Csaba Nagy, Michele Lanza, Gabriele Bavota
Siri, Write the Next Method. CoRR (2021)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
An Empirical Study on Code Comment Completion. CoRR (2021)
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella
Taxonomy of real faults in deep learning systems. ICSE (2020)
Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk
DeepMutation: A Neural Mutation Tool. CoRR (2020)
Rungroj Maipradit, Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza, Hideaki Hata, Kenichi Matsumoto
Automated Identification of On-hold Self-admitted Technical Debt. CoRR (2020)
Maria Caulo, Bin Lin, Gabriele Bavota, Giuseppe Scanniello, Michele Lanza
Knowledge Transfer in Modern Code Review. ICPC (2020)
Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, Massimiliano Di Penta
Why Developers Refactor Source Code: A Mining-based Study. ACM Trans. Softw. Eng. Methodol. 29 (4) (2020)
Massimiliano Di Penta, Gabriele Bavota, Fiorella Zampetti
On the relationship between refactoring actions and bugs: a differentiated replication. ESEC/SIGSOFT FSE (2020)
Fengcai Wen, Csaba Nagy, Michele Lanza, Gabriele Bavota
An Empirical Study of Quick Remedy Commits. ICPC (2020)

Gabriele Bavota

Publication Activity (10 Years)

Top Topics

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