GRL model validation: A statistical approach

Jameleddine Hassine*, Daniel Amyot

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Goal models represent interests, intentions, and strategies of different stakeholders. Reasoning about the goals of a system unavoidably involves the transformation of unclear stakeholder requirements into goal-oriented models. The ability to validate goal models would support the early detection of unclear requirements, ambiguities and conflicts. In this paper, we propose a novel GRL-based validation approach to check the correctness of goal models. Our approach is based on a statistical analysis that helps justify the modeling choices during the construction of the goal model as well as detecting conflicts among the stakeholders of the system. We illustrate our approach using a GRL model for the introduction of a new elective security course in a university.

Original languageEnglish
Title of host publicationSystem Analysis and Modeling
Subtitle of host publicationTheory and Practice - 7th International Workshop, SAM 2012, Revised Selected Papers
Pages212-228
Number of pages17
DOIs
StatePublished - 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7744 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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