Context aware software systems that can automatically adapt to changes in their environments play increasingly vital roles in society's infrastructures. Such systems are called adaptive systems. The demand for adaptive systems appears in many application domains ranging from crisis management applications such as disaster management, first-response, transportation control, and power management to entertainment and business applications such as mobile interactive gaming, tourist guiding and business collaborations (e.g., through virtual organizations and dynamic service compositions). This demand is accentuated by the mobile and nomadic nature of many of these domains. The IDC analysts forecast a global increase in number of mobile workers to the level higher than 850 million by 2009 .The goal of this project is to provide a tool-supported methodology and frameworks for managing dynamic variability of co-existing, co-dependent configurations in adaptive systems. This will be addressed through a combination of aspect-oriented and model-driven techniques. To accomplish this work we have assembled a consortium of leading players within the domains of MDE, aspect-oriented analysis and modelling and variability modelling and partners that provide advanced end user systems and applications where the demand for adaptation is a major concern. Our consortium includes major leaders within the software intensive industry, a tool vendor and leading research partners based in four countries.DiVA is organised into two phases of 18 months, each phase delivering innovative open solutions. The first phase will build and deliver an initial version of an integrated DiVA framework allowing the case studies to be started. The second phase will be used to improve and disseminate the DiVA framework using the feedback from case studies and experience of the framework use.