Complex distributed software-based systems that operate in highly dynamic environments are playing critical roles in society’s infrastructure and thus their dependability and trustworthiness is a concern. Examples are disaster response systems, flood prediction and monitoring systems, transportation control systems, and fire-fighting management systems. These systems must be able to adapt appropriately to changes in their operating contexts. Dependable operation of the systems requires that the systems have the capacity to adapt their behavior to ensure that needed services are delivered even in the presence of disruptive environmental changes or internal system faults. Research in the models@run.time community focuses on how software models can be used to manage the complexity of adapting behavior at runtime. Models@run.time research seeks to extend the applicability of MDD techniques to runtime management.

Members of the models@run.time community are encouraged to post news, conference and journal call for papers, and other announcements that are specific to the models@run.time community in this group. The group can also be used to conduct discussions and share experiences on the development and use of models@run.time.