Automating Output Size and Reuse Metrics in a Repository-Based Computer-Aided Software Engineering (CASE) Environment

Measurement of software development productivity is needed in order to control software costs, but it is discouragingly labor-intensive and expensive. Computer aided sofcware engineering (CASE) technologies -especially repository-based, integrated CASE -have the potential to support the automation of this measurement. In this paper, we discuss the development of automated analyzers for function point and software reuse measurement for object-based CASE. Both analyzers take advantage of the existence of a representation of the application system that is stored within an object repository, and that contains the necessary information about the application system. We also discuss metrics for software reuse measurement, includingreuse kverage, reuse value and reuse classification, that are motivated by managerial requirements and the efforts, within industry and the IEEE, to standardize measurement. The functionality and the analytical capabilities of state-of-the-art automated software metrics analyzers are illustrated in the context of an investment banking industry application, that is similar to systems deployed at the New Sork City-based investment bank where these tools were developed and tested. Center for Digital Economy Research Stem School of Business IVorking Paper IS-92-35 AUTOMATING OUTPUT SIZ;E AND SOFTWARE RI3USE METRICS IN A RI3POSITORY-BASED COMPUTER AIDED SOFTWAm ENGINEERING (CASE) ENVIRONMENT