Software Metrics Knowledge and Databases for Project Management

Authors:
Raymond A. Paul;Tosiyasu L. Kunii;Yoshihisa Shinagawa;Muhammad F. Khan
Affiliations:
-;-;-;-
Venue:
IEEE Transactions on Knowledge and Data Engineering
Year:
1999

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Abstract

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