Sustainable Training of Code Language Models through Data Refinement

Project Information

condenSE

Grant agreement ID: 101151798

DOI

10.3030/101151798

Project closed

EC signature date 6 March 2024

Start date 1 April 2024

End date 31 March 2026

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 210 911,04

Coordinated by

SIMULA RESEARCH LABORATORY AS
Norway

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Publications

Conference proceedings (5)

Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection

Author(s): Max Hort, Linas Vidziunas, Leon Moonen
Published in: 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2025
Publisher: IEEE
DOI: 10.1109/ICSTW64639.2025.10962512

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models

Author(s): Fernando Vallecillos Ruiz; Max Hort; Leon Moonen
Published in: Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, 2025
DOI: 10.48550/ARXIV.2505.02931

The Impact of Fine-Tuning Large Language Models on Automated Program Repair

Author(s): Roman Macháček, Anastasiia Grishina, Max Hort, Leon Moonen
Published in: 2025 IEEE International Conference on Software Maintenance and Evolution (ICSME), 2025
Publisher: IEEE
DOI: 10.1109/ICSME64153.2025.00042

Codehacks: A Dataset of Adversarial Tests for Competitive Programming Problems Obtained from Codeforces

Author(s): Max Hort, Leon Moonen
Published in: 2025 IEEE Conference on Software Testing, Verification and Validation (ICST), 2025
Publisher: IEEE
DOI: 10.1109/ICST62969.2025.10988963

A Comparative Study on Large Language Models for Log Parsing

Author(s): Merve Astekin; Max Hort; Leon Moonen
Published in: Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024
DOI: 10.48550/ARXIV.2409.02474

Peer reviewed articles (2)

Assessing the Latent Automated Program Repair Capabilities of Large Language Models using Round-Trip Translation

Author(s): Fernando Vallecillos Ruiz, Anastasiia Grishina, Max Hort, Leon Moonen
Published in: ACM Transactions on Software Engineering and Methodology, 2025, ISSN 1049-331X
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3771922

Fairst: A Novel Approach for Machine Learning Bias Repair Through Latent Sensitive Attribute Translation

Author(s): Carmen Meinson; Max Hort; Federica Sarro
Published in: Information and Software Technology, 2025, ISSN 1873-6025
Publisher: Elsevier B.V.
DOI: 10.1016/J.INFSOF.2025.107900