Automating analysis of qualitative preferences in goal-oriented requirements engineering

In goal-oriented requirements engineering, a goal model graphically represents relationships between the required goals (functional requirements), tasks (realizations of goals), and optional goals (non-functional properties) involved in designing a system. It may, however, be impossible to find a de...

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Bibliographic Details
Published in:2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011) pp. 448 - 451
Main Authors: Oster, Zachary J., Santhanam, Ganesh Ram, Basu, Samik
Format: Conference Proceeding
Language:English
Published: Washington, DC, USA IEEE Computer Society 06-11-2011
IEEE
Series:ACM Conferences
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Summary:In goal-oriented requirements engineering, a goal model graphically represents relationships between the required goals (functional requirements), tasks (realizations of goals), and optional goals (non-functional properties) involved in designing a system. It may, however, be impossible to find a design that fulfills all required goals and all optional goals. In such cases, it is useful to find designs that provide the required functionality while satisfying the most preferred set of optional goals under the goal model's constraints. We present an approach that considers expressive qualitative preferences over optional goals, as these can model interacting and/or mutually exclusive subgoals. Our framework employs a model checking-based method for reasoning with qualitative preferences to identify the most preferred alternative(s). We evaluate our approach using existing goal models from the literature.
ISBN:1457716380
9781457716386
ISSN:1938-4300
2643-1572
DOI:10.1109/ASE.2011.6100096