@article{Blincoe20191610,
	title = {High-level software requirements and iteration changes: a predictive model},
	volume = {24},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055479920&doi=10.1007%2fs10664-018-9656-z&partnerID=40&md5=ee7395b9fb0e8aea21dad136c911f1a3},
	doi = {10.1007/s10664-018-9656-z},
	abstract = {Knowing whether a software feature will be completed in its planned iteration can help with release planning decisions. However, existing research has focused on predictions of only low-level software tasks, like bug fixes. In this paper, we describe a mixed-method empirical study on three large IBM projects. We investigated the types of iteration changes that occur. We show that up to 54},
	number = {3},
	journal = {Empirical Software Engineering},
	author = {Blincoe, K. and Dehghan, A. and Salaou, A.-D. and Neal, A. and Linaker, J. and Damian, D.},
	year = {2019},
	note = {tex.author\_keywords: Completion prediction; Machine learning; Mining software repositories; Release planning; Software requirements
tex.document\_type: Article
tex.source: Scopus},
	keywords = {\#nosource},
	pages = {1610--1648},
}

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