default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGabriele Bavota
Person information
- affiliation: University of Lugano
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j64]Antonio Mastropaolo
, Valentina Ferrari, Luca Pascarella, Gabriele Bavota:
Log statements generation via deep learning: Widening the support provided to developers. J. Syst. Softw. 210: 111947 (2024)- [j63]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): 972-995 (2024) - [j62]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): 14:1-14:26 (2024) - [j61]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): 143 (2024) - [j60]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): 338-353 (2024) - [c135]Gabriele Bavota:
AI-based Code Generation: Achievements and Open Problems. EASE 2024: 1 - [c134]Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta:
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. EASE 2024: 150-159 - [c133]Stefano Campanella, Emanuela Guglielmi, Rocco Oliveto, Gabriele Bavota, Simone Scalabrino:
Towards the Automatic Replication of Gameplays to Support Game Debugging. FaSE4Games@SIGSOFT FSE 2024 - [c132]Antonio Mastropaolo, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta:
Toward Automatically Completing GitHub Workflows. ICSE 2024: 13:1-13:12 - [c131]Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota:
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. ICSE 2024: 218:1-218:13 - [c130]Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota:
Towards Summarizing Code Snippets Using Pre-Trained Transformers. ICPC 2024: 1-12 - [c129]Matteo Ciniselli, Alberto Martin-Lopez, Gabriele Bavota:
On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions. ICPC 2024: 99-111 - [c128]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: 370-381 - [c127]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: 571-583 - [i49]Rosalia Tufano, Ozren Dabic, Antonio Mastropaolo, Matteo Ciniselli, Gabriele Bavota:
Code Review Automation: Strengths and Weaknesses of the State of the Art. CoRR abs/2401.05136 (2024) - [i48]Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota:
Towards Summarizing Code Snippets Using Pre-Trained Transformers. CoRR abs/2402.00519 (2024) - [i47]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 abs/2402.16480 (2024) - [i46]Matteo Ciniselli, Alberto Martin-Lopez, Gabriele Bavota:
On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions. CoRR abs/2403.15149 (2024) - [i45]Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta:
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. CoRR abs/2404.17896 (2024) - [i44]Federica Pepe, Fiorella Zampetti, Antonio Mastropaolo, Gabriele Bavota, Massimiliano Di Penta:
A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems. CoRR abs/2409.11826 (2024) - [i43]Ozren Dabic, Rosalia Tufano, Gabriele Bavota:
SEART Data Hub: Streamlining Large-Scale Source Code Mining and Pre-Processing. CoRR abs/2409.18658 (2024) - 2023
- [j59]Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
Automated variable renaming: are we there yet? Empir. Softw. Eng. 28(2): 45 (2023) - [j58]Emanuela Guglielmi, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Using gameplay videos for detecting issues in video games. Empir. Softw. Eng. 28(6): 136 (2023) - [j57]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: 111729 (2023) - [j56]Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
What Quality Aspects Influence the Adoption of Docker Images? ACM Trans. Softw. Eng. Methodol. 32(6): 142:1-142:30 (2023) - [j55]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): 1580-1598 (2023) - [c126]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: 2149-2160 - [c125]Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
Source Code Recommender Systems: The Practitioners' Perspective. ICSE 2023: 2161-2172 - [c124]Rosalia Tufano, Luca Pascarella, Gabriele Bavota:
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. ICSE 2023: 2425-2437 - [c123]Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. ICSSP 2023: 1-12 - [c122]Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota:
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? ASE 2023: 585-597 - [c121]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: 2182-2186 - [d10]Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gerardo Canfora, Gabriele Bavota, Massimiliano Di Penta:
Dataset of the paper: "How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study". Zenodo, 2023
- [i42]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 abs/2302.00438 (2023) - [i41]Rosalia Tufano, Luca Pascarella, Gabriele Bavota:
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. CoRR abs/2302.04048 (2023) - [i40]Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
Source Code Recommender Systems: The Practitioners' Perspective. CoRR abs/2302.04098 (2023) - [i39]Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. CoRR abs/2303.15990 (2023) - [i38]Emanuela Guglielmi, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Using Gameplay Videos for Detecting Issues in Video Games. CoRR abs/2307.14749 (2023) - [i37]Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota:
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? CoRR abs/2308.08943 (2023) - [i36]Antonio Mastropaolo, Fiorella Zampetti, Massimiliano Di Penta, Gabriele Bavota:
Toward Automatically Completing GitHub Workflows. CoRR abs/2308.16774 (2023) - [i35]Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota:
Log Statements Generation via Deep Learning: Widening the Support Provided to Developers. CoRR abs/2311.04587 (2023) - [i34]Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota:
Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization. CoRR abs/2312.15475 (2023) - 2022
- [j54]Fengcai Wen, Csaba Nagy, Michele Lanza, Gabriele Bavota:
Quick remedy commits and their impact on mining software repositories. Empir. Softw. Eng. 27(1): 14 (2022) - [j53]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): 22 (2022) - [j52]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: 111233 (2022) - [j51]Neil A. Ernst, Gabriele Bavota:
AI-Driven Development Is Here: Should You Worry? IEEE Softw. 39(2): 106-110 (2022) - [j50]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): 23:1-23:23 (2022) - [j49]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): 25:1-25:23 (2022) - [j48]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): 38:1-38:41 (2022) - [j47]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): 186-208 (2022) - [j46]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): 4818-4837 (2022) - [c120]Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota:
Using Deep Learning to Generate Complete Log Statements. ICSE 2022: 2279-2290 - [c119]Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota:
Using Pre-Trained Models to Boost Code Review Automation. ICSE 2022: 2291-2302 - [c118]Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota:
Using Reinforcement Learning for Load Testing of Video Games. ICSE 2022: 2303-2314 - [c117]Rosalia Tufano, Emad Aghajani, Gabriele Bavota:
Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs. ICSME 2022: 394-398 - [c116]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: 449-453 - [c115]Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Sorry, I don't Understand: Improving Voice User Interface Testing. ASE 2022: 96:1-96:12 - [c114]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: 167-178 - [c113]Alejandro Mazuera-Rozo, Camilo Escobar-Velásquez, Juan Espitia-Acero, Mario Linares-Vásquez, Gabriele Bavota:
Detecting Connectivity Issues in Android Apps. SANER 2022: 697-708 - [e3]Ayushi Rastogi, Rosalia Tufano, Gabriele Bavota, Venera Arnaoudova, Sonia Haiduc:
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, ICPC 2022, Virtual Event, May 16-17, 2022. ACM 2022, ISBN 978-1-4503-9298-3 [contents] - [d9]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
Replication package for "An Empirical Study on the Usage of Transformer Models for Code Completion". Zenodo, 2022 - [d8]Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota:
Replication package for "An Empirical Study on the Usage of BERT Models for Code Completion". Zenodo, 2022 - [d7]Matteo Ciniselli, Luca Pascarella, Gabriele Bavota:
Replication package for "To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? Zenodo, 2022 - [d6]Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota:
Replication Package for: Using Deep Learning to Generate Complete Log Statements. Zenodo, 2022 - [d5]Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader-Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota:
Replication Package for: Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks. Zenodo, 2022 - [d4]Simone Scalabrino, Gabriele Bavota, Christopher Vendome, Mario Linares-Vásquez, Denys Poshyvanyk, Rocco Oliveto:
On Automatically Assessing Code Understandability. IEEE DataPort, 2022 - [i33]Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota:
Using Deep Learning to Generate Complete Log Statements. CoRR abs/2201.04837 (2022) - [i32]Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota:
Using Pre-Trained Models to Boost Code Review Automation. CoRR abs/2201.06850 (2022) - [i31]Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota:
Using Reinforcement Learning for Load Testing of Video Games. CoRR abs/2201.06865 (2022) - [i30]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 abs/2201.11807 (2022) - [i29]Emanuela Guglielmi, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Towards Using Gameplay Videos for Detecting Issues in Video Games. CoRR abs/2204.04182 (2022) - [i28]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 abs/2204.06894 (2022) - [i27]Neil A. Ernst, Gabriele Bavota:
AI-driven Development Is Here: Should You Worry? CoRR abs/2204.07560 (2022) - [i26]Antonio Mastropaolo, Nathan Cooper, David Nader-Palacio, Simone Scalabrino, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota:
Using Transfer Learning for Code-Related Tasks. CoRR abs/2206.08574 (2022) - [i25]Alejandro Mazuera-Rozo, Camilo Escobar-Velásquez, Juan Espitia-Acero, Mario Linares-Vásquez, Gabriele Bavota:
Detecting Connectivity Issues in Android Apps. CoRR abs/2206.08688 (2022) - [i24]Rosalia Tufano, Emad Aghajani, Gabriele Bavota:
Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs. CoRR abs/2208.07624 (2022) - [i23]Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
Automated Variable Renaming: Are We There Yet? CoRR abs/2212.05738 (2022) - 2021
- [j45]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): 36:1-36:26 (2021) - [j44]Emad Aghajani, Gabriele Bavota, Mario Linares-Vásquez, Michele Lanza:
Automated Documentation of Android Apps. IEEE Trans. Software Eng. 47(1): 204-220 (2021) - [j43]Simone Scalabrino, Gabriele Bavota, Christopher Vendome, Mario Linares-Vásquez, Denys Poshyvanyk, Rocco Oliveto:
Automatically Assessing Code Understandability. IEEE Trans. Software Eng. 47(3): 595-613 (2021) - [c112]Fengcai Wen, Emad Aghajani, Csaba Nagy, Michele Lanza, Gabriele Bavota:
Siri, Write the Next Method. ICSE 2021: 138-149 - [c111]Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota:
Towards Automating Code Review Activities. ICSE 2021: 163-174 - [c110]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: 336-347 - [c109]Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
Evaluating SZZ Implementations Through a Developer-informed Oracle. ICSE 2021: 436-447 - [c108]Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
An Empirical Study on Code Comment Completion. ICSME 2021: 159-170 - [c107]Yutaro Kashiwa, Kazuki Shimizu, Bin Lin, Gabriele Bavota, Michele Lanza, Yasutaka Kamei, Naoyasu Ubayashi:
Does Refactoring Break Tests and to What Extent? ICSME 2021: 171-182 - [c106]Fiorella Zampetti, Salvatore Geremia, Gabriele Bavota, Massimiliano Di Penta:
CI/CD Pipelines Evolution and Restructuring: A Qualitative and Quantitative Study. ICSME 2021: 471-482 - [c105]Fengcai Wen, Valentina Ferrari, Emad Aghajani, Csaba Nagy, Michele Lanza, Gabriele Bavota:
FeaRS: Recommending Complete Android Method Implementations. ICSME 2021: 589-593 - [c104]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: 276-287 - [c103]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: 108-119 - [c102]Ozren Dabic, Emad Aghajani, Gabriele Bavota:
Sampling Projects in GitHub for MSR Studies. MSR 2021: 560-564 - [c101]Hassan Atwi, Bin Lin, Nikolaos Tsantalis, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi, Gabriele Bavota, Michele Lanza:
PYREF: Refactoring Detection in Python Projects. SCAM 2021: 136-141 - [d3]Fiorella Zampetti, Salvatore Geremia, Gabriele Bavota, Massimiliano Di Penta:
CI/CD Pipelines Evolution and Restructuring: A Qualitative and Quantitative Study - Dataset and scripts. Zenodo, 2021 - [i22]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 abs/2101.01430 (2021) - [i21]Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota:
Towards Automating Code Review Activities. CoRR abs/2101.02518 (2021) - [i20]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 abs/2102.02017 (2021) - [i19]Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto:
Evaluating SZZ Implementations Through a Developer-informed Oracle. CoRR abs/2102.03300 (2021) - [i18]Fengcai Wen, Emad Aghajani, Csaba Nagy, Michele Lanza, Gabriele Bavota:
Siri, Write the Next Method. CoRR abs/2103.04586 (2021) - [i17]Ozren Dabic, Emad Aghajani, Gabriele Bavota:
Sampling Projects in GitHub for MSR Studies. CoRR abs/2103.04682 (2021) - [i16]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 abs/2103.07115 (2021) - [i15]Alejandro Mazuera-Rozo, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Gabriele Bavota:
Shallow or Deep? An Empirical Study on Detecting Vulnerabilities using Deep Learning. CoRR abs/2103.11940 (2021) - [i14]Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
An Empirical Study on Code Comment Completion. CoRR abs/2107.10544 (2021) - [i13]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 abs/2108.01585 (2021) - [i12]Camilo Escobar-Velásquez, Alejandro Mazuera-Rozo, Claudia Bedoya, Michael Osorio-Riaño, Mario Linares-Vásquez, Gabriele Bavota:
Studying Eventual Connectivity Issues in Android Apps. CoRR abs/2110.08908 (2021) - 2020
- [j42]Alejandro Mazuera-Rozo, Catia Trubiani, Mario Linares-Vásquez, Gabriele Bavota:
Investigating types and survivability of performance bugs in mobile apps. Empir. Softw. Eng. 25(3): 1644-1686 (2020) - [j41]Chris Mills, Esteban Parra, Jevgenija Pantiuchina, Gabriele Bavota, Sonia Haiduc:
On the relationship between bug reports and queries for text retrieval-based bug localization. Empir. Softw. Eng. 25(5): 3086-3127 (2020) - [j40]Simone Scalabrino, Gabriele Bavota, Mario Linares-Vásquez, Valentina Piantadosi, Michele Lanza, Rocco Oliveto:
API compatibility issues in Android: Causes and effectiveness of data-driven detection techniques. Empir. Softw. Eng. 25(6): 5006-5046 (2020) - [j39]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): 29:1-29:30 (2020) - [c100]Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk:
DeepMutation: a neural mutation tool. ICSE (Companion Volume) 2020: 29-32 - [c99]