Automating output size and reuse metrics in a repository-based computer-aided software engineering (CASE) environment

• Main Authors: BANKER, R. D., Kauffman, Robert J., Wright, C., Zweig, D.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 1994
• Subjects: bank data processing; object-oriented programming; software metrics; software reusability; software tools; Computer Sciences; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2155; https://ink.library.smu.edu.sg/context/sis_research/article/3155/viewcontent/Automating_Output_Size_and_Reuse_Metrics_in_an_Repository_Based_Computer_Based_Software_Engineering__CASE__Environment.pdf
• Institution: Singapore Management University

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 repository-based, integrated CASE-have the potential to support the automation of this measurement. We discuss the conceptual basis for 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, including reuse leverage, 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 York City-based investment bank where these tools were developed and tested