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An Artificial Assistant for Software Developers

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot

Autores: Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
Publicado en: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2023
Editor: IEEE
DOI: 10.1109/icse48619.2023.00181

Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization

Autores: Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta, Gabriele Bavota
Publicado en: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, 2024
Editor: ACM
DOI: 10.1145/3597503.3639174

Source Code Recommender Systems: The Practitioners' Perspective

Autores: Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
Publicado en: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2024
Editor: IEEE
DOI: 10.1109/icse48619.2023.00182

Don’t Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs

Autores: Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Publicado en: 2022 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022, Página(s) 394-398
Editor: IEEE
DOI: 10.1109/icsme55016.2022.00046

How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching

Autores: Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta
Publicado en: Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024
Editor: ACM
DOI: 10.1145/3661167.3661200

To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set?

Autores: Matteo Ciniselli, Luca Pascarella, Gabriele Bavota
Publicado en: 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), 2022, Página(s) 167-178
Editor: IEEE
DOI: 10.1145/3524842.3528440

Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study

Autores: Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota
Publicado en: Proceedings of the 21st International Conference on Mining Software Repositories, Edición 48, 2024, Página(s) 571-583
Editor: ACM
DOI: 10.1145/3643991.3644918

Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?

Autores: Antonio Mastropaolo, Massimiliano Di Penta, Gabriele Bavota
Publicado en: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
Editor: IEEE
DOI: 10.1109/ase56229.2023.00103

Using pre-trained models to boost code review automation

Autores: Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota
Publicado en: 2022 ACM/IEEE 44th International Conference on Software Engineering (ICSE), 2022, Página(s) 2291–2302
Editor: ACM
DOI: 10.1145/3510003.3510621

Using deep learning to generate complete log statements

Autores: Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota
Publicado en: 2022 ACM/IEEE 44th International Conference on Software Engineering (ICSE), 2022, Página(s) 2279–2290
Editor: ACM
DOI: 10.1145/3510003.3511561

On the relationship between refactoring actions and bugs: a differentiated replication

Autores: Massimiliano Di Penta, Gabriele Bavota, Fiorella Zampetti
Publicado en: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020, Página(s) 556-567, ISBN 9781450370431
Editor: ACM
DOI: 10.1145/3368089.3409695

Using reinforcement learning for load testing of video games

Autores: Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota
Publicado en: 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022, Página(s) 2303–2314
Editor: ACM
DOI: 10.1145/3510003.3510625

An Empirical Study on Code Comment Completion

Autores: Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Publicado en: 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021, Página(s) 159-170, ISBN 978-1-6654-2882-8
Editor: IEEE
DOI: 10.1109/icsme52107.2021.00021

Sampling Projects in GitHub for MSR Studies

Autores: Ozren Dabic, Emad Aghajani, Gabriele Bavota
Publicado en: 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), 2021, Página(s) 560-564, ISBN 978-1-7281-8710-5
Editor: IEEE
DOI: 10.1109/msr52588.2021.00074

On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions

Autores: Matteo Ciniselli, Alberto Martin-Lopez, Gabriele Bavota
Publicado en: Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024
Editor: ACM
DOI: 10.1145/3643916.3644411

Towards Automating Code Review Activities

Autores: Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota
Publicado en: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, Página(s) 163-174, ISBN 978-1-6654-0296-5
Editor: IEEE
DOI: 10.1109/icse43902.2021.00027

Toward Automatically Completing GitHub Workflows

Autores: Antonio Mastropaolo, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta
Publicado en: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, 2024
Editor: ACM
DOI: 10.1145/3597503.3623351

Automating Code-Related Tasks Through Transformers: The Impact of Pre-training

Autores: Rosalia Tufano, Luca Pascarella, Gabriele Bavota
Publicado en: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2024
Editor: IEEE
DOI: 10.1109/icse48619.2023.00203

Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks

Autores: Antonio Mastropaolo, Simone Scalabrino, Nathan Cooper, David Nader Palacio, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Publicado en: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, Página(s) 336-347, ISBN 978-1-6654-0296-5
Editor: IEEE
DOI: 10.1109/icse43902.2021.00041

An Empirical Study on the Usage of BERT Models for Code Completion

Autores: Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
Publicado en: 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), 2021, Página(s) 108-119, ISBN 978-1-7281-8710-5
Editor: IEEE
DOI: 10.1109/msr52588.2021.00024

Evaluating SZZ Implementations Through a Developer-Informed Oracle

Autores: Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto
Publicado en: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, Página(s) 436-447, ISBN 978-1-6654-0296-5
Editor: IEEE
DOI: 10.1109/icse43902.2021.00049

Towards Summarizing Code Snippets Using Pre-Trained Transformers

Autores: Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Publicado en: Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024
Editor: ACM
DOI: 10.1145/3643916.3644400

Automated variable renaming: are we there yet?

Autores: Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Publicado en: Empirical Software Engineering, Edición 28, 2023, ISSN 1382-3256
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10664-022-10274-8

Why Developers Refactor Source Code

Autores: Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, Massimiliano Di Penta
Publicado en: ACM Transactions on Software Engineering and Methodology, Edición 29/4, 2020, Página(s) 1-30, ISSN 1049-331X
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3408302

Using Transfer Learning for Code-Related Tasks

Autores: Antonio Mastropaolo, Nathan Cooper, David Nader-Palacio, Simone Scalabrino, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Publicado en: IEEE Transactions on Software Engineering, 2022, ISSN 0098-5589
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2022.3183297

Code Review Automation: Strengths and Weaknesses of the State of the Art

Autores: Rosalia Tufano, Ozren Dabić, Antonio Mastropaolo, Matteo Ciniselli, Gabriele Bavota
Publicado en: IEEE Transactions on Software Engineering, Edición 50, 2024, Página(s) 338-353, ISSN 0098-5589
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2023.3348172

A comprehensive evaluation of SZZ Variants through a developer-informed oracle

Autores: Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto
Publicado en: Journal of Systems and Software, Edición 202, 2024, Página(s) 111729, ISSN 0164-1212
Editor: Elsevier BV
DOI: 10.1016/j.jss.2023.111729

An Empirical Study on the Usage of Transformer Models for Code Completion

Autores: Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
Publicado en: IEEE Transactions on Software Engineering, 2021, ISSN 0098-5589
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2021.3128234

Log statements generation via deep learning: Widening the support provided to developers

Autores: Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota
Publicado en: Journal of Systems and Software, Edición 210, 2024, Página(s) 111947, ISSN 0164-1212
Editor: Elsevier BV
DOI: 10.1016/j.jss.2023.111947

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