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Mapping i* within UML for Business Modeling

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7830))

Abstract

[Context and Motivation] Business modeling is nowadays a common approach in huge enterprise software developments. It notably allows to align business processes and supporting IT solutions at best, to produce a documentation of the company’s “savoir-faire” and to look for possible optimizations. The business modeling discipline of the Rational Unified Process (RUP) has enriched the semantic of the Unified Modeling Language’s (UML) use case diagrams for the special purpose of representing the organization’s processes with accurate elements. [Question/Problem] RUP/UML business use case scemantics are nevetheless only intended to further stereotype use case models and not to be used for reasoning. In parallel and in line with artificial intelligence concepts, researchers have developed the i* framework enabling the evaluation and decomposition of multiple design opportunities. RUP/UML business use case scemantics could be used more efficiently to integrate the latter benefits. [Principal ideas/results] Through a systematic mapping of elements from i* on the one side and of the RUP/UML business use case model on the other, we have set up a RUP/UML graphical notation for i* elements. Applicability has been shown on an illustrative example. [Contribution] The main contribution of the framework is allowing to model in an i* fashion using CASE-tools meant for RUP/UML and proposing an interface for forward engineering the produced model in a classical UML requirements model. Future work is required to fully validate the proposal, notably to measure the method’s efficacy.

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Wautelet, Y., Kolp, M. (2013). Mapping i* within UML for Business Modeling. In: Doerr, J., Opdahl, A.L. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2013. Lecture Notes in Computer Science, vol 7830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37422-7_17

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  • DOI: https://doi.org/10.1007/978-3-642-37422-7_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37421-0

  • Online ISBN: 978-3-642-37422-7

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