Coordinating Quantitative Software Process Models and Metrics to Manage Software Projects

Coordinating Quantitative Software Process Models and
Metrics to Manage Software Projects

David Raffo
Portland State University, School of Business
Portland, OR
503-725-8508
davidr@sba.pdx.edu

Warren Harrison
Portland State University, Computer Science
Portland, OR
503-725-3108
warren@cs.pdx.edu

Linda Keast
Portland State University, Computer Science
Portland, OR
503-725-3108

Joseph Vandeville
Northrop Grumman, Software Engineering
Melbourne, FL
407-951-5287

In previous work we developed techniques for modeling software development processes quantitatively in terms of development cost, product quality, and project schedule using simulation. This work has predominately been applied to the software project management planning function. The goal of our current work is to develop a “forward looking” approach that integrates metrics with simulation models of the software development process in order to support the software project management controlling function. This “forward-looking” approach provides predictions of project performance and the impact of various management decisions. It can be used to assess the project's conformance to planned schedule and resource consumption. This paper reports on work with a leading software development firm to create an approach which includes a flexible metrics repository and state-based simulation model.

Keywords: Software Process, Project Management, Modeling, Software Measurement Repositories