Title :
Software metrics knowledge and databases for project management
Author :
Paul, Raymond A. ; Kunii, Tosiyasu L. ; Shinagawa, Yoshihisa ; Khan, Muhammad F.
Author_Institution :
US Office of the Under Secretary of Defense, Washington, DC, USA
Abstract :
The 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 the 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 the potential for greatly reducing venture risks and enhancing production quality in the domain of large-scale software project management
Keywords :
computer aided software engineering; data mining; deductive databases; knowledge based systems; large-scale systems; project management; software development management; software metrics; advanced analytic techniques; cost-effective project management; efficiency; information extraction; knowledge abstraction; knowledge extraction; knowledge-base tools; large-scale software development projects; production quality; raw data; robustness; software database metrics; software evaluation metrics; software metrics databases; software metrics knowledge; software test metrics; venture risks; Data mining; Databases; Information analysis; Large-scale systems; Production; Project management; Software maintenance; Software metrics; Software testing; Software tools;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
