dowdep: Software Mining of Downstream Dependency Repositories
Authors/Creators
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:
<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>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
Notes
Files
LinqLover/downstream-repository-mining-paper-enase17.zip
Additional details
Related works
- Is supplement to
- https://github.com/LinqLover/downstream-repository-mining/tree/paper-enase17 (URL)