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What really changes when developers intend to improve their source code: A commit-level study of static metric value and static analysis warning changes - MaRDI portal

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What really changes when developers intend to improve their source code: A commit-level study of static metric value and static analysis warning changes

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DOI10.5281/zenodo.7078179Zenodo7078179MaRDI QIDQ6696293

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 8 September 2021

Copyright license: No records found.



Description

This is the dataset for the publication What really changes when developers intend to improve their source code: A commit-level study of static metric value and static analysis warning changes. It contains a random sample of 2533 commits from 54 Java Apache open source projects classified by two researchers into perfective, corrective and other changes (manual_labels.csv). Moreover, we include static source code metrics and static analysis warnings for the 2533 changes in al_changes_gt.csv.gz. In addition, we include the full dataset of 125482 commits in all_changes_sebert.csv.gz with all metrics and automatic labels for every commit that was not manually labeled. The automatic labels were provided by a fine-tuned transformer model (BERT) pre-trained exclusively on software engineering data. We also provide the fine tuned version of the pre-trained model in seBERT_fine_tuned_commit_intent.tar.gz as well as a Snapshot of the SmartSHARK MongoDB database used in gathering the raw data in smartshark_emse.agz. The model can be tested live on the website accompanying the publication.






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