Hierarchical Categorization of Open Source Software by Online Profiles
Author:
Affiliation:
1. Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology
2. Department of Computer Science, The University of Western Ontario
3. Academy of Equipment
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E97.D/9/E97.D_2014EDP7007/_pdf
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3. [3] H. Dumitru, M. Gibiec, N. Hariri, J. Cleland-Huang, B. Mobasher, C. Castro-Herrera, and M. Mirakhorli, “On-demand feature recommendations derived from mining public product descriptions,” 2011 33rd International Conference on Software Engineering, pp.181-190, 2011.
4. [4] K. Kobayashi, M. Kamimura, K. Kato, K. Yano, and A. Matsuo, “Feature-gathering dependency-based software clustering using dedication and modularity,” 2012 28th IEEE International Conference on Software Maintenance (ICSM), pp.462-471, Sept. 2012.
5. [5] C. Teyton, J.R. Falleri, and X. Blanc, “Mining library migration graphs,” 2012 19th Working Conference on Reverse Engineering (WCRE), pp.289-298, 2012.
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