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.
AbstractGoal-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.
Espada, P., M. Goulão, and J. Araújo,
"Measuring Complexity and Completeness of KAOS Goal Models",
International Workshop on Empirical Requirements Engineering (EmpiRE 2011), at the 19th International Requirements Engineering Conference (RE 2011), Trento, Italy, IEEE Computer Society, 30 Aug., 2011.
Abstracthttp://dx.doi.org/10.1109/EmpiRE.2011.6046252
KAOS is one of the most well-known goal-oriented requirements engineering approaches. Nevertheless, building large KAOS models sometimes results in incomplete and/or complex requirements models that are difficult to understand and maintain. These shortcomings often lead to an increase in costs of product development and evolution. Therefore, for large-scale systems, the ability to manage the complexity and completeness of KAOS models is essential. In this paper, we propose a metrics suite for supporting the quantitative assessment of KAOS models complexity and completeness, in order to support their early identification. We apply the metrics to an example taken from a health club system specification.