A Prototype for Generating Meaningful Layout of iStar Models

Wang, Yunduo; Li, Tong ✉; Zhang, Haoyuan; Sun, Jiayi; Ni, Yeming; Geng, Congkai

Angol nyelvű Tudományos Konferenciaközlemény (Könyvrészlet)
    Azonosítók
    Being able to model and analyze social dependencies is one of the most important feature of iStar modeling language. However, typical layout algorithms (e.g., hierarchical layout and circular layout) are not suitable for laying out iStar models, especially, strategic dependency models. As a result, iStar models are typically constructed and laid out in a manual way, which is time-consuming and tedious, especially when dealing with large-scale models. In this paper, we present a prototype tool which can automatically lay out iStar model in a meaningful way by taking into account the semantics of iStar model elements. In particular, we have developed and integrated an istarml parser with our tool, enabling automatic layout of iStar models that are specified in terms of istarml. We believe our tool would be particularly interesting for people who used to deal with large-scale iStar models.
    Hivatkozás stílusok: IEEEACMAPAChicagoHarvardCSLMásolásNyomtatás
    2021-12-02 23:06