Software metrics knowledge and databases for project management

Construction and maintenance of large, high-quality software projects is a complex, error-prone, and difficult process. Tools employing software datab ase metrics can play an important role in efficient execution and managemen t of such large projects. In this paper, we present a generic framework to address this problem. This framework incorporates database and knowledge-ba se tools, a formal set of software test and evaluation metrics, and a suite of advanced analytic techniques for extracting information and knowledge f rom available data. The proposed combination of critical metrics and analyt ic tools can enable highly efficient and cost-effective management of large and complex software projects. The framework has potential for greatly red ucing venture risks and enhancing the production quality in the domain of l arge software project management.