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

60 Pages Posted: 23 Oct 2008

See all articles by Rajiv D. Banker

Rajiv D. Banker

Temple University - Department of Accounting

Robert J. Kauffman

Singapore Management University; Singapore Management University - School of Information Systems

Dani Zweig

affiliation not provided to SSRN

Multiple version iconThere are 2 versions of this paper

Date Written: November 1992

Abstract

Measurement of software development productivity is needed in order to control software costs, but it isdiscouragingly labor-intensive and expensive. Computer aided software engineering (CASE) technologies --especially repository-based, integrated CASE -- have the potential to support the automation of thismeasurement. In this paper, we discuss the development of automated analyzers for function point andsoftware reuse measurement for object-based CASE. Both analyzers take advantage of the existence of arepresentation of the application system that is stored within an object repository, and that contains thenecessary information about the application system. We also discuss metrics for software reusemeasurement, including reuse leverage, reuse value and reuse classification, that are motivated by managerialrequirements and the efforts, within industry and the IEEE, to standardize measurement. The functionalityand the analytical capabilities of state-of-the-art automated software metrics analyzers are illustrated in thecontext of an investment banking industry application, that is similar to systems deployed at the New YorkCity-based investment bank where these tools were developed and tested.

Keywords: CASE, computer aided software engineering, function point analysis, object-based development, programming productivity, repositories, reuse, software costs, software engineering economics, software metrics

Suggested Citation

Banker, Rajiv D. and Kauffman, Robert J. and Zweig, Dani, Automating Output Size and Reuse Metrics in a Repository-Based Computer Aided Software Engineering (Case) Environment (November 1992). NYU Working Paper No. IS-93-39, Available at SSRN: https://ssrn.com/abstract=1288433

Rajiv D. Banker (Contact Author)

Temple University - Department of Accounting ( email )

Robert J. Kauffman

Singapore Management University ( email )

Li Ka Shing Library
70 Stamford Road
Singapore 178901, 178899
Singapore
65-6828-929 (Phone)

Singapore Management University - School of Information Systems ( email )

80 Stamford Road
Singapore, 178902
Singapore

Dani Zweig

affiliation not provided to SSRN

No Address Available

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