Publication Type

Journal Article

Publication Date

1994

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 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

Keywords

bank data processing, object-oriented programming, software metrics, software reusability, software tools

Discipline

Computer Sciences | Numerical Analysis and Scientific Computing

Research Areas

Information Systems and Management

Publication

IEEE Transactions on Software Engineering

Volume

20

Issue

3

First Page

169

Last Page

187

ISSN

0098-5589

Identifier

10.1109/32.268919

Publisher

IEEE

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://dx.doi8.org/10.1109/32.268919

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