Static and Dynamic Software Quality Metric Tools

Mayo, Kevin A. and Wake, Steven A. and Henry, Sallie M. (1990) Static and Dynamic Software Quality Metric Tools. Technical Report TR-90-52, Computer Science, Virginia Polytechnic Institute and State University.

Abstract

The ability to detect and predict poor software quality is of major importance to software engineers, managers, and quality assurance organizations. Poor software quality leads to increased development costs and expensive maintenance. With so much attention on exacerbated budgetary constraints, a viable alternative is necessary. Software quality metrics are designed for this purpose. Metrics measure aspects of code or PDL representations, and can be collected and used throughout the life cycle [RAMC85].