An Empirical Test of Object-Based Output Measurement Metrics in a Computer Aided Software Engineering (Case) Environment

52 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

Rachna Kumar

affiliation not provided to SSRN

Date Written: September 1991

Abstract

Existing output measurement metrics for cost estimation and development productivityneed to be re-examined to determine their performance in computer aided softwareengineering (CASE) development environments. This paper critiques and empiricallyevaluates four approaches to the measurement of outputs. Two of the metrics, rawfunction counts and function points, are based on the function point analysis methodologypioneered by Albrecht and Gaffney at IBM (ALBR83). The second two, object countsand object points, are based on a new approach -- object points analysis -- that isintroduced here for the first time. The latter metrics are specialized for outputmeasurement in object-based CASE environments that include a centralized objectrepository. Estimation results for nineteen large-scale CASE projects show that the newmetrics have the potential to yield as accurate, yet easier to obtain estimates thanfunction points-based measures.

Keywords: CASE, computer aided software engineering, cost estimation, function point analysis, object-based metrics, object point analysis, productivity measurement, reuse, software development, software economics, software metrics

Suggested Citation

Banker, Rajiv D. and Kauffman, Robert J. and Kumar, Rachna, An Empirical Test of Object-Based Output Measurement Metrics in a Computer Aided Software Engineering (Case) Environment (September 1991). Information Systems Working Papers Series, Vol. , pp. -, 1991. Available at SSRN: https://ssrn.com/abstract=1289048

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

Rachna Kumar

affiliation not provided to SSRN

No Address Available

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