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Add paper versions as published in ENASE
Co-authored-by: Willy Scheibel <[email protected]> Co-authored-by: cgcostume <[email protected]>
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# Scientific Paper: Downstream Dependency Mining | ||
# Scientific Paper: Augmenting Library Development by Mining Usage Data from Downstream Dependencies | ||
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PDF preprint: [Release Submission (Software Mining & Applications)](https://github.com/LinqLover/downstream-repository-mining/releases/tag/submission-ss21#:~:text=paper.pdf) | ||
This paper has been published in the *Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering – ENASE*, 221-232, 2022, and is accessible on SciTePress here: <https://doi.org/10.5220/0011093700003176> | ||
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Citation format: | ||
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```bib | ||
@conference{dowdep22paper, | ||
author={Christoph Thiede and Willy Scheibel. and Daniel Limberger. and Jürgen Döllner.}, | ||
title={Augmenting Library Development by Mining Usage Data from Downstream Dependencies}, | ||
booktitle={Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE,}, | ||
year={2022}, | ||
pages={221-232}, | ||
publisher={SciTePress}, | ||
organization={INSTICC}, | ||
doi={10.5220/0011093700003176}, | ||
isbn={978-989-758-568-5}, | ||
} | ||
``` | ||
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The first version of this paper has been written in the context of the Software Mining & Applications seminar, a preprint of this version is available via the original seminar release: [Release Submission (Software Mining & Applications)](https://github.com/LinqLover/downstream-repository-mining/releases/tag/submission-ss21#:~:text=paper.pdf) |
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