Towards model-driven requirements analysis for context-aware well-being systems

Over the years, the interest in the field of pervasive computing has increased. A specific class of applications in this domain is that of context-aware applications. These programs utilize context information to adapt to their current environment. This quality can be used, among others, when dealing with health care and well-being situations. However, as the user requirements for these specific applications are almost never well-specified, there is a real risk that the resulting application does not offer the right set of features to the user. In order to mitigate this risk, we propose a model-driven method of requirements engineering for systems in the domain of context-aware well-being applications. This method will result in an explicit specification of requirements, and an improved alignment of user requirements and system features. Furthermore, due to the model-driven character of the method, the artifacts created during the requirements engineering phase of the development process can directly be incorporated in the subsequent development steps.