As we know it is important to define functional requirements (“whats”) and corresponding design parameters (“hows”) in a systematic and a scientific fashion to avoid complexities at the later stage of a design activity. Equally important is identifying suitable metrics for measuring FRs and DPs. The accuracy of these metrics is so important to make sure that desired outcome are achieved. In this presentation, we will discuss about importance of managing metrics and how decomposition principle is helpful in managing and evaluating metrics. The proposed metrics management approach helps evaluate performance levels of processes, systems and models, including artificial intelligence and machine learning approaches. We will also discuss about the quality index that will be useful in measuring performance levels and its relation to information axiom.
Keynote by Rajesh Jugulum