Abstract
Generating meaningful layout of iStar models is a challenging task, which currently requires significant manual efforts. However, it is time-consuming when dealing with large-scale iStar modeling, rising the need of having an automatic iStar layout tool. Previously, we have proposed an algorithm for laying out iStar SD models and have implemented a corresponding prototype tool. In this paper, we report our ongoing empirical work which aims to evaluate the effectiveness and usability of the prototype tool. In particular, we present a research design which is applied to compare manual layout and automatic layout in terms of efficiency and model comprehensibility. Based on such a design, we are planning to carry out empirical studies accordingly in the near future.
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Notes
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Large iStar models can be found at https://zenodo.org/record/581653.
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Acknowledgements
This work is supported by National Key R&D Program of China (No. 2017YFC08033007), the National Natural Science of Foundation of China (No. 91546111, 91646201) and Basic Research Funding of Beijing University of Technology (No. 040000546318516).
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Zhang, H., Li, T., Wang, Y. (2018). Design of an Empirical Study for Evaluating an Automatic Layout Tool. In: Woo, C., Lu, J., Li, Z., Ling, T., Li, G., Lee, M. (eds) Advances in Conceptual Modeling. ER 2018. Lecture Notes in Computer Science(), vol 11158. Springer, Cham. https://doi.org/10.1007/978-3-030-01391-2_26
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DOI: https://doi.org/10.1007/978-3-030-01391-2_26
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