A Machine Learning Approach for Continuous Development-Reference-Cited by-同舟云学术

A Machine Learning Approach for Continuous Development

Published:2018 Issue: Volume: Page:109-119
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
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Author:

Russo Daniel,Lomonaco Vincenzo,Ciancarini Paolo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-70578-1_11

Reference29 articles.

1. P. Avesani, C. Bazzanella, A. Perini, A. Susi, Facing scalability issues in requirements prioritization with machine learning techniques, in 13th IEEE International Conference on Requirements Engineering (RE’05) (2005), pp. 297–305

2. F. Bachmann, L. Bass, M. Klein, Preliminary design of ArchE: a software architecture design assistant CMU/SEI Technical Report 21 (2003)

3. G. Boetticher, Using machine learning to predict project effort: empirical case studies in data-starved domains, in 1st International Workshop on Model-Based Requirements Engineering (2001)

4. J. Bosch, Software architecture: the next step, in European Workshop on Software Architecture (2004)

5. W. Buntine, Learning classification trees. Stat. Comput. 2(2), 63–73 (1992)

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