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Software Metrics Knowledge and Databases for Project Management
January/February 1999 (vol. 11 no. 1)
pp. 255-264

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.

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Index Terms:
Knowledge-based tools for software project management, efficiency and robustness in large-scale software development, knowledge abstraction from raw data, software metrics databases, test and evaluation, cost-effective project management.
Citation:
Raymond A. Paul, Tosiyasu L. Kunii, Yoshihisa Shinagawa, Muhammad F. Khan, "Software Metrics Knowledge and Databases for Project Management," IEEE Transactions on Knowledge and Data Engineering, vol. 11, no. 1, pp. 255-264, Jan.-Feb. 1999, doi:10.1109/69.755633
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