A Framework to Evaluate Complexity and Completeness of KAOS Goal Models

Citation:
Espada, P., M. Goulão, and J. Araújo, "A Framework to Evaluate Complexity and Completeness of KAOS Goal Models", 25th International Conference on Advanced Information Systems Engineering, CAiSE 2013, Valencia, Spain, 17-21 Jun., 2013.

Date Presented:

17-21 Jun.

Abstract:

Goal-Oriented Requirements Engineering (GORE) approaches have been developed to facilitate the requirements engineers work by, for example, providing abstraction mechanisms to help eliciting and modeling requirements. One of the well-established GORE approaches is KAOS. Nevertheless, in large-scale systems building KAOS models may result in incomplete and/or complex goal models, which are difficult to understand and change. This may lead to an increase in costs of product development and evolution. Thus, for large-scale systems, the effective management of complexity and completeness of goal
models is vital. In this paper, we propose a metrics framework for supporting the quantitative assessment of complexity and completeness of KAOS goal models. Those metrics are formally specified, implemented and incorporated in a KAOS modeling tool. We validate the metrics with a set of real-world case studies and discuss the identified recurring modeling practices.

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