SEMay 25, 2016

iStar 2.0 Language Guide

arXiv:1605.07767v3196 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of fragmented language variations for novices and practitioners in conceptual modeling, though it is incremental as it builds upon existing i* foundations.

The paper tackles the inconsistency and difficulty in learning the i* modeling language by introducing iStar 2.0, which evolves its concepts into a clear and consistent core set to improve usability and support future work.

The i* modeling language was introduced to fill the gap in the spectrum of conceptual modeling languages, focusing on the intentional (why?), social (who?), and strategic (how? how else?) dimensions. i* has been applied in many areas, e.g., healthcare, security analysis, eCommerce. Although i* has seen much academic application, the diversity of extensions and variations can make it difficult for novices to learn and use it in a consistent way. This document introduces the iStar 2.0 core language, evolving the basic concepts of i* into a consistent and clear set of core concepts, upon which to build future work and to base goal-oriented teaching materials. This document was built from a set of discussions and input from various members of the i* community. It is our intention to revisit, update and expand the document after collecting examples and concrete experiences with iStar 2.0.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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