RationalGRL: A framework for rationalizing goal models using argument diagrams

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Abstract

Goal modeling languages, such as i* and the Goal-oriented Requirements Language (GRL), capture and analyze high-level goals and their relationships with lower level goals and tasks. However, in such models, the rationalization behind these goals and tasks and the selection of alternatives are usually left implicit. To better integrate goal models and their rationalization, we develop the RationalGRL framework, in which argument diagrams can be mapped to goal models. Moreover, we integrate the result of the evaluation of arguments and their counterarguments with GRL initial satisfaction values. We develop an interface between the argument web tools OVA and TOAST and the Eclipse-based tool for GRL called jUCMNav. We demonstrate our methodology with a case study from the Schiphol Group.

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van Zee, M., Marosin, D., Bex, F., & Ghanavati, S. (2016). RationalGRL: A framework for rationalizing goal models using argument diagrams. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9974 LNCS, pp. 553–560). Springer Verlag. https://doi.org/10.1007/978-3-319-46397-1_43

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