Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-21347-2_17
Title: University-industry collaboration journey towards product lines
Authors: Jarzabek, S. 
Pettersson, U.
Zhang, H.
Keywords: Generative technique
Industry collaboration
Software Product Lines
Variability management
Issue Date: 2011
Source: Jarzabek, S.,Pettersson, U.,Zhang, H. (2011). University-industry collaboration journey towards product lines. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6727 LNCS : 223-237. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-21347-2_17
Abstract: Product Lines for mission critical Command and Control systems was a starting point for a long lasting research collaboration between National University of Singapore (NUS) and ST Electronics (Info-Software Systems) Pte Ltd (STEE-InfoSoft). Collaboration was intensified by a joint research project, also involving University of Waterloo and Netron Inc. that led to development of reuse technology called XVCL. The contribution of this paper is twofold: First, we describe collaboration modes, factors that were critical to sustain collaboration, and benefits for university and industry gained over years. Among the main benefits, STEE-InfoSoft advanced its reuse practice by applying XVCL in several software Product Line projects, while NUS team received early feedback from STEE-InfoSoft which helped refine XVCL reuse methods and keep academic research in sync with industrial realities. Academic findings and industrial pilots have opened new unexpected research directions. Second, we draw lessons learned from many projects, to explain the general nature and significance of problems addressed with the XVCL approach. © 2011 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41201
ISBN: 9783642213465
ISSN: 03029743
DOI: 10.1007/978-3-642-21347-2_17
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