Abstract
The variability model is a central artifact in product line engineering. Existing approaches typically treat this as a single centralized artifact which describes the configuration of other artifacts. This approach is very problematic in distributed development as a monolithic variability model requires significant coordination among the involved development teams. This holds in particular if multiple independent organizations are involved.
At this point very little work exists that explicitly supports variability modeling in a distributed setting. In this paper we address the question how existing, real-world, large-scale projects deal with this problem as a source of inspiration on how to deal with this in variability management.
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References
Aoki, O.: Debian Reference, (2007), http://qref.sourceforge.net/Debian/reference/reference.en.pdf (last verified: 13.3.2009)
Benavides, D.: On the automated analysis of software product lines using feature models. A framework for developing automated tool support. PhD thesis, University of Seville, Spain (2007)
Bosch, J.: From software product lines to software ecosystems. In: Proceedings of the 13th Software Product Line Conference, pp. 111–119 (2009)
Catalog of software product lines, http://www.sei.cmu.edu/productlines/casestudies/catalog (last verified: 13.03.2010)
Clements, P., Northrop, L.: Software Product Lines: Practices and Patterns. Addison-Wesley, Boston (2002)
Czarnecki, K., Helsen, S., Eisenecker, U.: Staged configuration through specialization and multi-level configuration of feature models. Software Process Improvement and Practice 10(2), 143–169 (2005); Special Issue on Software Product Lines
Dhungana, D., Heymans, P., Rabiser, R.: A formal semantics for decision-oriented variability modeling with dopler. In: Proceedings of the Fourth International Workshop on Variability Modelling of Software-intensive Systems (VAMOS 2010), pp. 29–35 (2010)
Dhungana, D., Neumayer, T., Grünbacher, P., Rabiser, R.: Supporting the evolution of product line architectures with variability model fragments. In: Proceedings of the Seventh Working IEEE/IFIP Conference on Software Architecture, pp. 327–330 (2008)
The Eclipse Foundation. Eclipse 3.1 Documentation: Platform Plug-in Developer Guide (2005), http://www.eclipse.org/documentation (checked: 13.3.2009)
Hallsteinsen, S., Hinchey, M., Park, S., Schmid, K.: Dynamic software product lines. Computer 41(4), 93–95 (2008)
Kang, K.C., Cohen, S.G., Hess, J.A., Novak, W.E., Peterson, A.S.: Feature-Oriented Domain Analysis (FODA) Feasibility Study. Technical Report CMU/SEI-90-TR-21 ESD-90-TR-222, Software Engineering Institute Carnegie Mellon University (1990)
van der Linden, F., Schmid, K., Rommes, E.: Software Product Lines in Action - The Best Industrial Practice in Product Line Engineering. Springer, Heidelberg (2007)
Parnas, D.: On the criteria to be used in decomposing systems into modules. Communications of the ACM 15(12), 1053–1058 (1972)
Pohl, K., Böckle, G., van der Linden, F.: Software Product Line Engineering: Foundations, Principles, and Techniques. Springer, Heidelberg (2005)
Rosenmüller, M., Siegmund, N.: Automating the configuration of multi software product lines. In: Proceedings of the Fourth International Workshop on Variability Modelling of Software-intensive Systems (VAMOS 2010), pp. 123–130 (2010)
Rosenmüller, M., Siegmund, N., Kästner, C., ur Rahman, S.S.: Modeling dependent software product lines. In: GPCE Workshop on Modularization, Composition and Generative Techniques for Product Line Engineering (McGPLE), number MIP-0802, pp. 13–18. University of Passau (2008)
Schmid, K., Eichelberger, H.: Model-based implementation of meta-variability constructs: A case study using aspects. In: Proceedings of VAMOS 2008, pp. 63–71 (2008)
Schmid, K., John, I.: A customizable approach to full-life cycle variability management. Science of Computer Programming 53(3), 259–284 (2004)
Schobbens, P.-Y., Heymans, P., Trigaux, J.-C.: Feature diagrams: A survey and a formal semantics. In: Proceedings of the 14th IEEE Requirements Engineering Conference (RE 2006), pp. 139–148 (2006)
She, S., Lotufo, R., Berger, T., Wasowski, A., Czarnecki, K.: The variability model of the linux kernel. In: Proceedings of the Fourth International Workshop on Variability Modelling of Software-intensive Systems (VAMOS 2010), pp. 45–51 (2010)
van der Hoek, A.: Design-time product line architectures for any-time variability. Science of Computer Programming 53(30), 285–304 (2004); Special issue on Software Variability Management
van Ommering, R.: Software reuse in product populations. IEEE Transactions on Software Engineering 31(7), 537–550 (2005)
White, J., Schmidt, D., Wuchner, E., Nechypurenko, A.: Optimizing and automating product-line variant selection for mobile devices. In: Proceedings of the 11th Annual Software Product Line Conference (SPLC), pp. 129–140 (2007)
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Schmid, K. (2010). Variability Modeling for Distributed Development – A Comparison with Established Practice. In: Bosch, J., Lee, J. (eds) Software Product Lines: Going Beyond. SPLC 2010. Lecture Notes in Computer Science, vol 6287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15579-6_11
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DOI: https://doi.org/10.1007/978-3-642-15579-6_11
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