Automating Software Development Productivity Metrics

41 Pages Posted: 31 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

Eric Fisher

New York University (NYU)

Charles R. Wright

Independent

Dani Zweig

affiliation not provided to SSRN

Date Written: September 1990

Abstract

Measurement of software development productivity is needed in orderto control software costs, but it is discouragingly labor-intensiveand 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 pointand code reuse measurement. Both analyzers take advantage of theexistence of a meta-model of the application system, stored withinan object repository, which contains the necessary informationabout the application system. We also propose new metrics for codereuse analysis, including reuse leverage, reuse value and reuseclassification. The state-of-the-art automated software metricsanalyzers are illustrated in the context of an investment bankingindustry application.

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

Suggested Citation

Banker, Rajiv D. and Kauffman, Robert J. and Fisher, Eric and Wright, Charles R. and Zweig, Dani, Automating Software Development Productivity Metrics (September 1990). Information Systems Working Papers Series, Vol. , pp. -, 1990. Available at SSRN: https://ssrn.com/abstract=1289086

Rajiv D. Banker (Contact Author)

Temple University - Department of Accounting ( email )

Philadelphia, PA 19122
United States

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

Eric Fisher

New York University (NYU)

Bobst Library, E-resource Acquisitions
20 Cooper Square 3rd Floor
New York, NY 10003-711
United States

Charles R. Wright

Independent

No Address Available

Dani Zweig

affiliation not provided to SSRN

No Address Available

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