From text to graphical models: a semi-automated iStar modeling support framework
Goal modeling is an effective method using in the early phase of requirements analysis. The iStar modeling framework is a typical representative of goal modeling methods. However, limited by scalability issues, the iStar modeling framework has not been practical for a long time. This work plans to propose a semi-automated support framework for converting text into graphical models, to facilitate the practical application of the iStar. Specifically, there are two parts to this support framework. First is the interactive modeling part. This part takes the natural language requirements text as input, automatically identifies the model elements and relationships in it, and finally outputs the iStar model. The automatic identification process supports interaction, and users can customize their model content. The second part is the interactive visualization. This part takes an iStar model as input automatically lays out and visualizes the model. Users can interact with the visualized model for further analysis. In summary, this work expects to improve the iStar modeling and analysis process and promote the practical application of the iStar framework. Moreover, this work focuses on the practical requirements of practitioners in the requirements engineering field when doing requirements modeling. As a presenter at the event, firstly, I will learn about the existing weak points in my work. Also, I will interact with many experienced practitioners in the RE field and gain insight into what practitioners in the field need to do in practice for requirements modeling analysis. All above will help me in my work and make my work better to achieve the desired goals.