Context-awareness is an essential component of systems developed in areas like Intelligent Environments, Pervasive & Ubiquitous Computing and Ambient Intelligence. In these emerging fields, there is a need for computerized systems to have a higher understanding of the situations in which to provide services or functionalities, to adapt accordingly. The literature shows that researchers modify existing engineering methods in order to better fit the needs of context-aware computing. These efforts are typically disconnected from each other and generally focus on solving specific development issues. We encourage the creation of a more holistic and unified engineering process that is tailored for the demands of these systems. For this purpose, we study the state-of-the-art in the development of context-aware systems, focusing on: A) Methodologies for developing context-aware systems, analysing the reasons behind their lack of adoption and features that the community wish they can use; B) Context-aware system engineering challenges and techniques applied during the most common development stages; C) Context-aware systems conceptualization.

This paper reports on the lessons learnt during the application of a methodology to develop intelligent environments. One important feature of the methodology is that of being strongly user-centred, and the authors report on how that interaction with users took place and how it continuously shaped our project aspirations and outcomes. The methodology was applied to a project which aimed at helping people with Down's Syndrome and those with similar conditions and needs, to be more included in society. The project was developed by a consortium of commercial, academic, and end user supporting organizations. The paper elaborates on what type of stakeholders engaging activities were considered and how these were distributed along the lifetime of the project and their impact.

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