Published March 8, 2022 | Version submission-enase17
Software Open

dowdep: Software Mining of Downstream Dependency Repositories

Description

This release contains the paper as it has been published in the Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering – ENASE, 221-232, 2022, which is accessible on SciTePress here: https://doi.org/10.5220/0011093700003176

For citation, please use the following information:

Thiede, C., Scheibel, W., Limberger, D., & Döllner, J. (2022). Augmenting Library Development by Mining Usage Data from Downstream Dependencies. In Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering. 17th International Conference on Evaluation of Novel Approaches to Software Engineering. SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0011093700003176

<details> <summary>BibTeX citation file (paper)</summary> <pre lang="bib"><code>@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}, }</code></pre> </details>

Notes

If you use this software, please cite it as below.

Files

LinqLover/downstream-repository-mining-paper-enase17.zip

Files (2.9 MB)

Additional details