Search Results

Functional testing also referred to as the statistical testing or behavioral testing is today recognized as an industry standard for quality assessment of large-scale embedded systems. The measure of the quality is reliability of a system. The key part of functional testing is automatic production of test cases in accordance to a given operational profile of the tested system. This problem has been widely addressed in literature; however there is still the need for additional research efforts in this area. In this paper we present the original model-based working environment for production of functional test cases. The front-end of the environment is the generic modeling environment with our operational profile modeling paradigm registered to it. The back-end of the environment consists of operational profile model interpreter and a generic framework. The generic framework is the key component of the environment.

The paper presents a methodology to identify the most appropriate algorithm for the analysis of this nonlinear instability, and to devise a novel control technique for damping the instabilities and ensuring orderly operation of the system with an improved energy savings. The control is digital in nature and can easily be implemented using digital signal processors (DSPs). In addition to superiority in performance, fault diagnostic and failure are easier using the proposed control method.