A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Goal-Based Modeling of Dynamically Adaptive System Requirements
ECBS '08 Proceedings of the 15th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems
Fuzzy Goals for Requirements-Driven Adaptation
RE '10 Proceedings of the 2010 18th IEEE International Requirements Engineering Conference
Towards requirements aware systems: Run-time resolution of design-time assumptions
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Tool support for combined rule-based and goal-based reasoning in Context-Aware systems
RE '12 Proceedings of the 2012 IEEE 20th International Requirements Engineering Conference (RE)
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The strength of goal models is their ability to assess candidate solutions against high level criteria for many stakeholders, allowing system-wide trade-offs to be performed. We argue that, in a context-aware system, reasoning based on goal models can complement standard rule-based reasoning engines for decision making without involving explicit interaction with the user. While rule-based systems excel in filtering out unsuitable solutions based on clear criteria, it is difficult to rank suitable solutions based on vague, qualitative criteria of stakeholders with a rule-based approach. The User Requirements Notation (URN) is a goal-based and scenario-based requirements modeling language that has been applied to many different domains, from reactive systems to telecommunication standards to business processes. For context-aware systems, URN's workflow notation can describe the overall behavior of a context-aware system and URN's goal models can further enhance reasoning about contextual situations. While URN already supports some of the interactions between workflow and goal models required for the specification of context-aware systems, it does not yet fully support the modeling, design-time simulation, and run-time execution of a context-aware system based on its URN model. This paper (i) introduces such a modeling, simulation, and execution environment, (ii) discusses three architectural solutions for combined rule-based and goal-oriented reasoning, and (iii) reports on a URN profile that describes a domain-specific language for context-aware reasoning using goal-orientation with the help of an example application from the health care domain.