Towards interoperability of i* models using iStarML

作者: Carlos Cares , Xavier Franch , Anna Perini , Angelo Susi

DOI: 10.1016/J.CSI.2010.03.005

关键词:

摘要: Goal-oriented and agent-oriented modelling provides an effective approach to the understanding of distributed information systems that need operate in open, heterogeneous evolving environments. Frameworks, firstly introduced more than ten years ago, have been extended along language variants, analysis methods CASE tools, posing semantics tool interoperability issues. Among them, i* framework is one most widespread. We focus on i*-based languages tools problem supporting model exchange between them. In this paper, we introduce derive XML interchange format, called iStarML, as a practical solution problem. first discuss main requirements for its definition, then characterise core concepts detail tags options format. complete presentation iStarML showing some possible applications. Finally, survey community perception about included assessment purposes.

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