: Prediction of the quality attributes of software architectures requires technologies that enable the application of analytic theories to component models. However, available anal...
Dataspaces are collections of heterogeneous and partially unstructured data. Unlike data-integration systems that also offer uniform access to heterogeneous data sources, dataspac...
Autonomic Computing was introduced to reduce the complexity of managing computing systems; however, the heterogeneous nature existing in most computing systems introduces some dif...
The design and analysis of today’s complex real-time systems requires advanced methods. Due to ever growing functionality, hardware complexity and component interaction, applyin...
Large-scale distributed real-time systems are increasingly difficult to analyze within the Rate Monotonic Analysis framework. This is due partly to their heterogeneity, complex i...