Application of a Markov model to the measurement, simulation, and diagnosis of an iterative design process

Abstract

This paper presents the use of a Markov-based model for analyzing iterative design processes. Techniques are developed for collecting process metadata and calibrating the model. An experiment is described that demonstrates the utility and accuracy of the model for simulating design processes and identifying design process bottlenecks.