A framework to evaluate complexity and completeness of KAOS goal models

  • Authors:

  • Patrícia Espada;Miguel Goulão;João Araújo

  • Affiliations:

  • CITI, Departamento de Informática, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Lisbon, Portugal;CITI, Departamento de Informática, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Lisbon, Portugal;CITI, Departamento de Informática, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Lisbon, Portugal

  • Venue:
  • CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
  • Year:
  • 2013

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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.