paper

Scientific Paper: Augmenting Library Development by Mining Usage Data from Downstream Dependencies

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

Citation format:

@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},
}

Conference Presentation

You can find the slides for the paper presentation at the ENASE here:

Seminar Paper

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)

The original sources of the seminar paper are still preserved in the git history: paper@submission-ss21