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Mining Architectural Patterns in Specific Contexts and Its Application to e-Finance

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 1))

Abstract

The success of today’s enterprises is critically dependant on their ability to automate the way they conduct business with customers and other enterprises by means of e-business applications. However, developers are confronted with a large number of alternatives when considering the design and implementation of e-business applications such as deciding on whether or how legacy system integration should be performed. Identifying the set of possible architectural design alternatives for a given problem context is not trivial since it requires architects to have extensive experience in a specific domain and its existing information systems. Moreover, determining the alternatives that corresponds to good architectural practices and selecting the most appropriate one for a given e-business application would have critical impact on participating enterprises. This chapter discusses a two-phase systematic framework for the determination of a range of alternative architectural designs for e-business applications and for making these alternatives evolve into either formal architectural patterns or anti-patterns. Such a framework is investigated based on a specific problem context in the e-finance domain with some requirements and assumptions that are based on experience working in that domain. The concepts presented in this paper are demonstrated using a real life context specification example derived from capital markets trading.

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© 2007 Springer-Verlag Berlin Heidelberg

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Dabous, F.T., Rabhi, F.A. (2007). Mining Architectural Patterns in Specific Contexts and Its Application to e-Finance. In: Filipe, J., Cordeiro, J., Pedrosa, V. (eds) Web Information Systems and Technologies. Lecture Notes in Business Information Processing, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74063-6_6

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  • DOI: https://doi.org/10.1007/978-3-540-74063-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74062-9

  • Online ISBN: 978-3-540-74063-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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