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ORCIDGabriele Bavota
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- affiliation: University of Lugano
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2020 – today
- 2023
[j57]Antonio Mastropaolo
, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
Automated variable renaming: are we there yet? Empir. Softw. Eng. 28(2): 45 (2023)- [j56]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) - [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) - [c124]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 - [c123]Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
Source Code Recommender Systems: The Practitioners' Perspective. ICSE 2023: 2161-2172 - [c122]Rosalia Tufano, Luca Pascarella, Gabriele Bavota:
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. ICSE 2023: 2425-2437 - [c121]Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. ICSSP 2023: 1-12 - [i40]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) - [i39]Rosalia Tufano, Luca Pascarella, Gabriele Bavota:
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. CoRR abs/2302.04048 (2023) - [i38]Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
Source Code Recommender Systems: The Practitioners' Perspective. CoRR abs/2302.04098 (2023) - [i37]Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises. CoRR abs/2303.15990 (2023) - [i36]Emanuela Guglielmi, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto:
Using Gameplay Videos for Detecting Issues in Video Games. CoRR abs/2307.14749 (2023) - [i35]Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota:
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? CoRR abs/2308.08943 (2023) - [i34]Antonio Mastropaolo, Fiorella Zampetti, Massimiliano Di Penta, Gabriele Bavota:
Toward Automatically Completing GitHub Workflows. CoRR abs/2308.16774 (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] - [d1]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 - [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]Emad Aghajani, Csaba Nagy, Mario Linares-Vásquez, Laura Moreno, Gabriele Bavota, Michele Lanza, David C. Shepherd:
Software documentation: the practitioners' perspective. ICSE 2020: 590-601 - [c98]Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella:
Taxonomy of real faults in deep learning systems. ICSE 2020: 1110-1121 - [c97]Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk:
On learning meaningful assert statements for unit test cases. ICSE 2020: 1398-1409 - [c96]Fengcai Wen, Csaba Nagy, Michele Lanza, Gabriele Bavota:
An Empirical Study of Quick Remedy Commits. ICPC 2020: 60-71 - [c95]Maria Caulo, Bin Lin, Gabriele Bavota, Giuseppe Scanniello, Michele Lanza:
Knowledge Transfer in Modern Code Review. ICPC 2020: 230-240 - [c94]Rungroj Maipradit, Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza, Hideaki Hata, Kenichi Matsumoto:
Automated Identification of On-hold Self-admitted Technical Debt. SCAM 2020: 54-64 - [c93]Massimiliano Di Penta, Gabriele Bavota, Fiorella Zampetti:
On the relationship between refactoring actions and bugs: a differentiated replication. ESEC/SIGSOFT FSE 2020: 556-567 - [i11]Michele Tufano, Jason Kimko, Shiya Wang, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Denys Poshyvanyk:
DeepMutation: A Neural Mutation Tool. CoRR abs/2002.04760 (2020) - [i10]Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, Denys Poshyvanyk:
On Learning Meaningful Assert Statements for Unit Test Cases. CoRR abs/2002.05800 (2020) - [i9]Massimiliano Di Penta, Gabriele Bavota, Fiorella Zampetti:
On the Relationship between Refactoring Actions and Bugs: A Differentiated Replication. CoRR abs/2009.11685 (2020) - [i8]Rungroj Maipradit, Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza, Hideaki Hata, Kenichi Matsumoto:
Automated Identification of On-hold Self-admitted Technical Debt. CoRR abs/2009.13113 (2020)
2010 – 2019
- 2019
- [j38]Gabriele Bavota, Andrian Marcus:
Introduction to the special issue on software analysis, evolution, and reengineering. Empir. Softw. Eng. 24(1): 329-331 (2019) - [j37]Alejandro Mazuera-Rozo, Jairo Bautista-Mora, Mario Linares-Vásquez, Sandra Rueda, Gabriele Bavota:
The Android OS stack and its vulnerabilities: an empirical study. Empir. Softw. Eng. 24(4): 2056-2101 (2019) - [j36]Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk:
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation. ACM Trans. Softw. Eng. Methodol. 28(4): 19:1-19:29 (2019) - [j35]Simone Scalabrino, Gabriele Bavota, Barbara Russo, Massimiliano Di Penta, Rocco Oliveto:
Listening to the Crowd for the Release Planning of Mobile Apps. IEEE Trans. Software Eng. 45(1): 68-86 (2019) - [j34]Luca Ponzanelli, Gabriele Bavota, Andrea Mocci, Rocco Oliveto, Massimiliano Di Penta, Sonia Haiduc, Barbara Russo, Michele Lanza:
Automatic Identification and Classification of Software Development Video Tutorial Fragments. IEEE Trans. Software Eng. 45(5): 464-488 (2019) - [c92]Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk:
On learning meaningful code changes via neural machine translation. ICSE 2019: 25-36 - [c91]Bin Lin, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta, Michele Lanza:
Pattern-based mining of opinions in Q&A websites. ICSE 2019: 548-559 - [c90]Emad Aghajani, Csaba Nagy, Olga Lucero Vega-Márquez, Mario Linares-Vásquez, Laura Moreno, Gabriele Bavota, Michele Lanza:
Software documentation issues unveiled. ICSE 2019: 1199-1210 - [c89]Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk:
Learning How to Mutate Source Code from Bug-Fixes. ICSME 2019: 301-312 - [c88]Laura Bello-Jiménez, Alejandro Mazuera-Rozo, Mario Linares-Vásquez, Gabriele Bavota:
OPIA: A Tool for On-Device Testing of Vulnerabilities in Android Applications. ICSME 2019: 418-421 - [c87]Fengcai Wen, Csaba Nagy, Gabriele Bavota, Michele Lanza:
A large-scale empirical study on code-comment inconsistencies. ICPC 2019: 53-64 - [c86]Simone Scalabrino, Gabriele Bavota, Mario Linares-Vásquez, Michele Lanza, Rocco Oliveto:
Data-driven solutions to detect API compatibility issues in Android: an empirical study. MSR 2019: 288-298 - [c85]Salvatore Geremia, Gabriele Bavota, Rocco Oliveto, Michele Lanza, Massimiliano Di Penta:
Characterizing Leveraged Stack Overflow Posts. SCAM 2019: 141-151 - [c84]Bin Lin, Csaba Nagy, Gabriele Bavota, Andrian Marcus, Michele Lanza:
On the Quality of Identifiers in Test Code. SCAM 2019: 204-215 - [c83]Jeffrey J. Yackley, Marouane Kessentini, Gabriele Bavota, Vahid Alizadeh, Bruce R. Maxim:
Simultaneous Refactoring and Regression Testing. SCAM 2019: 216-227 - [c82]Fiorella Zampetti, Gabriele Bavota, Gerardo Canfora, Massimiliano Di Penta:
A Study on the Interplay between Pull Request Review and Continuous Integration Builds. SANER 2019: 38-48 - [c81]Bin Lin, Csaba Nagy, Gabriele Bavota, Michele Lanza:
On the Impact of Refactoring Operations on Code Naturalness. SANER 2019: 594-598 - [i7]Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, Denys Poshyvanyk:
On Learning Meaningful Code Changes via Neural Machine Translation. CoRR abs/1901.09102 (2019) - [i6]Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella:
Taxonomy of Real Faults in Deep Learning Systems. CoRR abs/1910.11015 (2019) - 2018
- [j33]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) - [j32]Mauricio Finavaro Aniche, Gabriele Bavota, Christoph Treude, Marco Aurélio Gerosa, Arie van Deursen:
Code smells for Model-View-Controller architectures. Empir. Softw. Eng. 23(4): 2121-2157 (2018) - [j31]Gabriele Bavota, Michaela Greiler:
Introduction to the special issue on source code analysis and manipulation. Empir. Softw. Eng. 23(4): 2359-2361 (2018) - [j30]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) - [j29]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) - [j28]Gabriele Bavota, Jonathan I. Maletic, Michael L. Collard:
Introduction to the special issue on program comprehension. J. Softw. Evol. Process. 30(6) (2018) - [j27]Mario Linares-Vásquez, Gabriele Bavota, Carlos Bernal-Cárdenas, Massimiliano Di Penta, Rocco Oliveto, Denys Poshyvanyk:
Multi-Objective Optimization of Energy Consumption of GUIs in Android Apps. ACM Trans. Softw. Eng. Methodol. 27(3): 14:1-14:47 (2018) - [j26]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) - [c80]Kevin Moran, Michele Tufano, Carlos Bernal-Cárdenas, Mario Linares Vásquez, Gabriele Bavota, Christopher Vendome, Massimiliano Di Penta, Denys Poshyvanyk:
MDroid+: a mutation testing framework for android. ICSE (Companion Volume) 2018: 33-36 - [c79]Bin Lin, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta, Michele Lanza, Rocco Oliveto:
Sentiment analysis for software engineering: how far can we go? ICSE 2018: 94-104 - [c78]Christopher Vendome, Daniel M. Germán, Massimiliano Di Penta, Gabriele Bavota, Mario Linares Vásquez, Denys Poshyvanyk:
To distribute or not to distribute?: why licensing bugs matter. ICSE 2018: 268-279 - [c77]