Developing usability studies to evaluate user interfaces (UIs) is a task requiring a wide variety of skills. In this paper we propose conceptual architecture for design and integration of usability tests in model-driven development of context-sensitive user interfaces. Upon the extended model for development of context-sensitive user interfaces, we introduce a generic framework that developers can use to design usability tests. This is enabled by using common vocabulary for description of usability test models and human models. Basic principles of the proposed approach are given in brief. As an example, we give formal model of human working memory that can be used in design of various cognitive load metrics.

Basic communication algorithms for star graph interconnection networks are developed by using the hierarchical properties of the star graph, with the assumption that one input channel can drive only one output communication channel at a time. With this constraint, communication algorithms for each node can be expressed only as sequences of generators corresponding to the communication channels. Sequences that are identical exploit the symmetry and hierarchical properties of the star graph and can be easily integrated in communication hardware. Their time complexities are evaluated and compared with the corresponding results for the hypercube.>

Host machines of signal processors are closely related to algorithm characteristics, and therefore simultaneous development of architecture and micro-programs could be succesfully done through simulation. In the created simulator, the program modules correspond to hard-ware components, and they are activated only once during a microcycle by using an "Equivalent generalized pipeline stage" model. The architecture is briefly described, with more significance paid to the address generation.