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Artifact repository for the paper "Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code", In Proceedings of The 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), Lisbon, Portugal, April 2024

zenodo.org/doi/10.5281/zenodo.8190051

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Programming Language Translation: An Empirical Study

Dataset

We consider the following datasets in our empirical study:

CodeNet
AVATAR
Evalplus
Apache Commons-CLI
Click

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Artifact repository for the paper "Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code", In Proceedings of The 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), Lisbon, Portugal, April 2024

zenodo.org/doi/10.5281/zenodo.8190051

machine-learning programming-languages empirical-research large-language-models bug-taxonomy

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