Gabriele Bavota
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
8
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COMPSAC | When AI Joins the Team: Understanding Human-Agent Collaboration in Pull Requests. | Miguel Romero-Arjona, Saman A. Barakat, Alberto Martin-Lopez, Ana Beln Snchez, Gabriele Bavota, Sergio Segura |
| 2025 | ICSE | Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword? | Rosalia Tufano, Alberto Martin-Lopez, Ahmad Tayeb, Ozren Dabic, Sonia Haiduc, Gabriele Bavota |
| 2025 | MSR | Is it Really Fun? Detecting Low Engagement Events in Video Games. | Emanuela Guglielmi, Gabriele Bavota, Nicole Novielli, Rocco Oliveto, Simone Scalabrino |
| 2024 | EASE | AI-based Code Generation: Achievements and Open Problems. | Gabriele Bavota |
| 2024 | EASE | How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. | Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta |
| 2024 | ICSE | Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. | Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota |
| 2024 | ICSE | Toward Automatically Completing GitHub Workflows. | Antonio Mastropaolo, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta |
| 2024 | MSR | Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study. | Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota |
| 2023 | ICSE | Source Code Recommender Systems: The Practitioners' Perspective. | Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota |
| 2023 | ICSE | On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. | Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota |
| 2023 | ICSE | Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. | Rosalia Tufano, Luca Pascarella, Gabriele Bavota |
| 2022 | ICSE | Using Deep Learning to Generate Complete Log Statements. | Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota |
| 2022 | ICSE | Using Pre-Trained Models to Boost Code Review Automation. | Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota |
| 2022 | ICSE | Using Reinforcement Learning for Load Testing of Video Games. | Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota |
| 2022 | MSR | To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? | Matteo Ciniselli, Luca Pascarella, Gabriele Bavota |
| 2021 | ICSE | Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. | Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota |
| 2021 | ICSE | Evaluating SZZ Implementations Through a Developer-informed Oracle. | Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto |
| 2021 | ICSE | Towards Automating Code Review Activities. | Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota |
| 2021 | ICSE | Siri, Write the Next Method. | Fengcai Wen, Emad Aghajani, Csaba Nagy, Michele Lanza, Gabriele Bavota |
| 2021 | MSR | An Empirical Study on the Usage of BERT Models for Code Completion. | Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota |
| 2021 | MSR | Sampling Projects in GitHub for MSR Studies. | Ozren Dabic, Emad Aghajani, Gabriele Bavota |
| 2021 | SCAM | PYREF: Refactoring Detection in Python Projects. | Hassan Atwi, Bin Lin, Nikolaos Tsantalis, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi, Gabriele Bavota, Michele Lanza |
| 2020 | ICSE | Software documentation: the practitioners' perspective. | Emad Aghajani, Csaba Nagy, Mario Linares-Vsquez, Laura Moreno, Gabriele Bavota, Michele Lanza, David C. Shepherd |
| 2020 | ICSE | Taxonomy of real faults in deep learning systems. | Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella |
| 2020 | ICSE | DeepMutation: a neural mutation tool. | Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk |
| 2020 | ICSE | On learning meaningful assert statements for unit test cases. | Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk |
| 2020 | SCAM | Automated Identification of On-hold Self-admitted Technical Debt. | Rungroj Maipradit, Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza, Hideaki Hata, Kenichi Matsumoto |
| 2019 | ICSE | Pattern-based mining of opinions in Q&A websites. | Bin Lin, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta, Michele Lanza |
| 2019 | ICSE | Software documentation issues unveiled. | Emad Aghajani, Csaba Nagy, Olga Lucero Vega-Mrquez, Mario Linares-Vsquez, Laura Moreno, Gabriele Bavota, Michele Lanza |
| 2019 | ICSE | On learning meaningful code changes via neural machine translation. | Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk |
| 2019 | MSR | Data-driven solutions to detect API compatibility issues in Android: an empirical study. | Simone Scalabrino, Gabriele Bavota, Mario Linares-Vsquez, Michele Lanza, Rocco Oliveto |
| 2019 | SCAM | On the Quality of Identifiers in Test Code. | Bin Lin, Csaba Nagy, Gabriele Bavota, Andrian Marcus, Michele Lanza |
| 2019 | SCAM | Characterizing Leveraged Stack Overflow Posts. | Salvatore Geremia, Gabriele Bavota, Rocco Oliveto, Michele Lanza, Massimiliano Di Penta |
| 2019 | SCAM | Simultaneous Refactoring and Regression Testing. | Jeffrey J. Yackley, Marouane Kessentini, Gabriele Bavota, Vahid Alizadeh, Bruce R. Maxim |
| 2018 | ICSE | Sentiment analysis for software engineering: how far can we go? | Bin Lin, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta, Michele Lanza, Rocco Oliveto |
| 2018 | ICSE | MDroid+: a mutation testing framework for android. | Kevin Moran, Michele Tufano, Carlos Bernal-Crdenas, Mario Linares Vsquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk |
| 2018 | ICSE | 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 |
| 2018 | ICSE | To distribute or not to distribute?: why licensing bugs matter. | Christopher Vendome, Daniel M. Germn, Massimiliano Di Penta, Gabriele Bavota, Mario Linares Vsquez, Denys Poshyvanyk |
| 2018 | MSR | Deep learning similarities from different representations of source code. | Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk |
| 2017 | ICSE | Supporting software developers with a holistic recommender system. | Luca Ponzanelli, Simone Scalabrino, Gabriele Bavota, Andrea Mocci, Rocco Oliveto, Massimiliano Di Penta, Michele Lanza |
| 2017 | ICSE | GEMMA: multi-objective optimization of energy consumption of GUIs in Android apps. | Mario Linares Vsquez, Carlos Bernal-Crdenas, Gabriele Bavota, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk |
| 2017 | ICSE | Machine learning-based detection of open source license exceptions. | Christopher Vendome, Mario Linares Vsquez, Gabriele Bavota, Massimiliano Di Penta, Daniel M. Germn, Denys Poshyvanyk |
| 2017 | MSR | An empirical study on Android-related vulnerabilities. | Mario Linares Vsquez, Gabriele Bavota, Camilo Andrs Escobar-Velasquez |
| 2017 | OOPSLA | An annotation-based API for supporting runtime code annotation reading. | Phyllipe Lima, Eduardo Guerra, Marco Nardes, Andrea Mocci, Gabriele Bavota, Michele Lanza |
| 2017 | SCAM | Investigating the Use of Code Analysis and NLP to Promote a Consistent Usage of Identifiers. | Bin Lin, Simone Scalabrino, Andrea Mocci, Rocco Oliveto, Gabriele Bavota, Michele Lanza |
| 2016 | ICSE | Too long; didn't watch!: extracting relevant fragments from software development video tutorials. | Luca Ponzanelli, Gabriele Bavota, Andrea Mocci, Massimiliano Di Penta, Rocco Oliveto, Mir Hasan, Barbara Russo, Sonia Haiduc, Michele Lanza |
| 2016 | ICSE | CodeTube: extracting relevant fragments from software development video tutorials. | Luca Ponzanelli, Gabriele Bavota, Andrea Mocci, Massimiliano Di Penta, Rocco Oliveto, Barbara Russo, Sonia Haiduc, Michele Lanza |
| 2016 | ICSE | Release planning of mobile apps based on user reviews. | Lorenzo Villarroel, Gabriele Bavota, Barbara Russo, Rocco Oliveto, Massimiliano Di Penta |
| 2016 | MSR | A large-scale empirical study on self-admitted technical debt. | Gabriele Bavota, Barbara Russo |
| 2015 | ICSE | How Can I Use This Method? | Laura Moreno, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Andrian Marcus |
| 2015 | ICSE | Extract Package Refactoring in ARIES. | Fabio Palomba, Michele Tufano, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Denys Poshyvanyk, Andrea De Lucia |
| 2015 | ICSE | 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 |
| 2015 | MSR | 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 |
| 2014 | MSR | Mining StackOverflow to turn the IDE into a self-confident programming prompter. | Luca Ponzanelli, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Michele Lanza |
| 2014 | MSR | Mining energy-greedy API usage patterns in Android apps: an empirical study. | Mario Linares Vsquez, Gabriele Bavota, Carlos Bernal-Crdenas, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk |
| 2013 | ICSE | An empirical study on the developers' perception of software coupling. | Gabriele Bavota, Bogdan Dit, Rocco Oliveto, Massimiliano Di Penta, Denys Poshyvanyk, Andrea De Lucia |
| 2013 | ICSE | The role of artefact corpus in LSI-based traceability recovery. | Gabriele Bavota, Andrea De Lucia, Rocco Oliveto, Annibale Panichella, Fabio Ricci, Genoveffa Tortora |
| 2013 | ICSE | Automatic query reformulations for text retrieval in software engineering. | Sonia Haiduc, Gabriele Bavota, Andrian Marcus, Rocco Oliveto, Andrea De Lucia, Tim Menzies |
| 2013 | ICSE | Query quality prediction and reformulation for source code search: the refoqus tool. | Sonia Haiduc, Giuseppe De Rosa, Gabriele Bavota, Rocco Oliveto, Andrea De Lucia, Andrian Marcus |
| 2013 | ICSE | 1st international workshop on natural language analysis in software engineering (NaturaLiSE 2013). | Lori L. Pollock, David W. Binkley, Dawn J. Lawrie, Emily Hill, Rocco Oliveto, Gabriele Bavota, Alberto Bacchelli |
| 2012 | ICSE | Using structural and semantic information to support software refactoring. | Gabriele Bavota |
| 2012 | ICSE | Teaching software engineering and software project management: An integrated and practical approach. | Gabriele Bavota, Andrea De Lucia, Fausto Fasano, Rocco Oliveto, Carlo Zottoli |
| 2012 | ICSE | Supporting extract class refactoring in Eclipse: The ARIES project. | Gabriele Bavota, Andrea De Lucia, Andrian Marcus, Rocco Oliveto, Fabio Palomba |
| 2012 | ICSE | Evaluating the specificity of text retrieval queries to support software engineering tasks. | Sonia Haiduc, Gabriele Bavota, Rocco Oliveto, Andrian Marcus, Andrea De Lucia |
| 2012 | SCAM | When Does a Refactoring Induce Bugs? An Empirical Study. | Gabriele Bavota, Bernardino De Carluccio, Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto, Orazio Strollo |
| 2012 | SSBSE | Putting the Developer in-the-Loop: An Interactive GA for Software Re-modularization. | Gabriele Bavota, Filomena Carnevale, Andrea De Lucia, Massimiliano Di Penta, Rocco Oliveto |
| 2011 | ICSE | Identifying method friendships to remove the feature envy bad smell. | Rocco Oliveto, Malcom Gethers, Gabriele Bavota, Denys Poshyvanyk, Andrea De Lucia |
| 2011 | MODELS | Identifying the Weaknesses of UML Class Diagrams during Data Model Comprehension. | Gabriele Bavota, Carmine Gravino, Rocco Oliveto, Andrea De Lucia, Genoveffa Tortora, Marcela Genero, Jos A. Cruz-Lemus |