Abstract
As design processes continue to increase in complexity it is important to base process-improvement decisions on quantitative analysis. We describe the development of an analytical approach for evaluating sequential design-process completion time and for determining the sensitivities of design time with respect to individual task durations and transition probabilities. Techniques are also detailed for collecting process metadata and calibrating a design proecess model. Example applications illustrate the use of the methodology in analyzing and improving software and hardware design processes.
Publisher
Association for Computing Machinery (ACM)
Subject
Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications
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