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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14414
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| Title: | AUTOMATING SOFTWARE DEVELOPMENT PRODUCTIVITY METRICS |
| Authors: | Banker, Rajiv D.
Fisher, Eric
Kauffman, Robert J.
Wright, Charles
Zweig, Dani |
| 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 |
| Issue Date: | Sep-1990 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-90-15 |
| Abstract: | 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 object-oriented, integrated CASE -- have the potential to
support the automation of this measurement. In this paper, we describe
automated analyzers for function point and code reuse measurement. Both
analyzers take advantage of the existence of a meta-model of the
application system, stored within an object repository, which contains
the necessary information about the application system. We also propose
new metrics for code reuse analysis, including reuse leverage, reuse
value and reuse classification. The state-of-the-art automated software
metrics analyzers are illustrated in the context of an investment
banking industry application. |
| URI: | http://hdl.handle.net/2451/14414 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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