AUTOMATING SOFTWARE DEVELOPMENT PRODUCTIVITY METRICS
Rajiv D. Banker, Eric S. Fisher, Robert J. Kauffman, Charles L. Wright, Dani Zweig · Faculty Digital Archive (New York University Florence) · 1990
Measurement of software development productivity is needed in order to control software costs, but it is discouragingly labor-intensive and expensive. Computer aided software engineering (CASE) technologies -- especially object-oriented, integrated CASE -- have the potential to support the automation of this measurement. In this paper, we describe automated analyzers for function point and code reuse measurement. Both analyzers take advantage of the existence of a meta-model of the application system, stored within an object repository, which contains the necessary information about the application system. We also propose new metrics for code reuse analysis, including reuse leverage, reuse value and reuse classification. The state-of-the-art automated software metrics analyzers are illustrated in the context of an investment banking industry application.