An Artificial Assistant for Software Developers

Project Information

DEVINTA

Grant agreement ID: 851720

DOI 10.3030/851720

EC signature date 6 September 2019

Start date 1 February 2020

End date 31 July 2025

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 499 093,00

EU contribution € 1 499 093,00

Coordinated by

UNIVERSITA DELLA SVIZZERA ITALIANA
Switzerland

Publications

Peer reviewed articles (7)

Automated variable renaming: are we there yet?

Author(s): Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Published in: Empirical Software Engineering, Issue 28, 2023, ISSN 1382-3256
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10664-022-10274-8

Why Developers Refactor Source Code

Author(s): Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, Massimiliano Di Penta
Published in: ACM Transactions on Software Engineering and Methodology, Issue 29/4, 2020, Page(s) 1-30, ISSN 1049-331X
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3408302

Using Transfer Learning for Code-Related Tasks

Author(s): Antonio Mastropaolo, Nathan Cooper, David Nader-Palacio, Simone Scalabrino, Denys Poshyvanyk, Rocco Oliveto, Gabriele Bavota
Published in: IEEE Transactions on Software Engineering, 2022, ISSN 0098-5589
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2022.3183297

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

Author(s): Rosalia Tufano, Ozren Dabić, Antonio Mastropaolo, Matteo Ciniselli, Gabriele Bavota
Published in: IEEE Transactions on Software Engineering, Issue 50, 2024, Page(s) 338-353, ISSN 0098-5589
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2023.3348172

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

Author(s): Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto
Published in: Journal of Systems and Software, Issue 202, 2024, Page(s) 111729, ISSN 0164-1212
Publisher: Elsevier BV
DOI: 10.1016/j.jss.2023.111729

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

Author(s): Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
Published in: IEEE Transactions on Software Engineering, 2021, ISSN 0098-5589
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tse.2021.3128234

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

Author(s): Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota
Published in: Journal of Systems and Software, Issue 210, 2024, Page(s) 111947, ISSN 0164-1212
Publisher: Elsevier BV
DOI: 10.1016/j.jss.2023.111947

Conference proceedings (13)

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

Author(s): Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Published in: 2022 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022, Page(s) 394-398
Publisher: IEEE
DOI: 10.1109/icsme55016.2022.00046

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

Author(s): Matteo Ciniselli, Luca Pascarella, Gabriele Bavota
Published in: 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR), 2022, Page(s) 167-178
Publisher: IEEE
DOI: 10.1145/3524842.3528440

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

Author(s): Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota
Published in: Proceedings of the 21st International Conference on Mining Software Repositories, Issue 48, 2024, Page(s) 571-583
Publisher: ACM
DOI: 10.1145/3643991.3644918

Using pre-trained models to boost code review automation

Author(s): Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota
Published in: 2022 ACM/IEEE 44th International Conference on Software Engineering (ICSE), 2022, Page(s) 2291–2302
Publisher: ACM
DOI: 10.1145/3510003.3510621

Using deep learning to generate complete log statements

Author(s): Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota
Published in: 2022 ACM/IEEE 44th International Conference on Software Engineering (ICSE), 2022, Page(s) 2279–2290
Publisher: ACM
DOI: 10.1145/3510003.3511561

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

Author(s): Massimiliano Di Penta, Gabriele Bavota, Fiorella Zampetti
Published in: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020, Page(s) 556-567, ISBN 9781450370431
Publisher: ACM
DOI: 10.1145/3368089.3409695

Using reinforcement learning for load testing of video games

Author(s): Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota
Published in: 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022, Page(s) 2303–2314
Publisher: ACM
DOI: 10.1145/3510003.3510625

An Empirical Study on Code Comment Completion

Author(s): Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Published in: 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2021, Page(s) 159-170, ISBN 978-1-6654-2882-8
Publisher: IEEE
DOI: 10.1109/icsme52107.2021.00021

Sampling Projects in GitHub for MSR Studies

Author(s): Ozren Dabic, Emad Aghajani, Gabriele Bavota
Published in: 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR), 2021, Page(s) 560-564, ISBN 978-1-7281-8710-5
Publisher: IEEE
DOI: 10.1109/msr52588.2021.00074

Towards Automating Code Review Activities

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

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

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

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

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

Evaluating SZZ Implementations Through a Developer-Informed Oracle

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