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An Approach to Developing Domain Architectures Based on Variability Analysis

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Book cover Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3981))

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Abstract

Software product line engineering is a method that prepares for future reuse and supports seamless reuse in the application development process. A domain architecture, sharing a common software architecture across a product line, brings a core set of knowledge and assets to the development process. Domain architectures reduce the complexity and cost of developing and maintaining code. However, technically excellent domain architectures do fail, often because they are not effectively developed. The key concept in the development of domain architecture is variability, the ability to derive various products from the product family. Variability occurs at different levels. It is important to consider variability at the higher architectural levels, and not only at the code level. In this paper, we suggest a method of producing architectures that will be core assets in the product line. We describe a domain architecture where commonality and variability are explicitly considered.

This research was supported by the MIC(Ministry of Information and Communication), Korea, under the ITRC(Information Technology Research Center) support program super-vised by the IITA(Institute of Information Technology Assessment).

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References

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© 2006 Springer-Verlag Berlin Heidelberg

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Moon, M., Yeom, K. (2006). An Approach to Developing Domain Architectures Based on Variability Analysis. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751588_46

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  • DOI: https://doi.org/10.1007/11751588_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34072-0

  • Online ISBN: 978-3-540-34074-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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