Abstract: A method for performing portfolio analysis with a decision model for design automation tools resulting in a design automation tool positioning on a multidimensional decision grid that translates the design automation tool technology into quantified business data needed for making the investment decisions and for optimizing the resource budget within an organization. The decision model is assumed to have been partitioned in two categories: Tool Opportunity Attractiveness (TA) and Tool Implementation Competitiveness (TIC). including the sub-partitions and algorithms. Each partition of the model is assigned to a separate process, each of which may, in general, optimize the resource budget with the result of the tool positioning on the multidimensional decision grid when running independently.