By Topic

An evaluation of some design metrics

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

Some software design metrics are evaluated using data from a communications system. The design metrics investigated were based on the information flow metrics proposed by S. Henry and D. Kafura (1981) and the problems they encountered are discussed. The slightly simpler metrics used in this study are described. The ability of the design metrics to identify change-prone, error-prone and complex programs are contrasted with that of simple code metrics. Although one of the design metrics (informational fan-out)/ was able to identify change-prone, fault-prone and complex programs, code metrics (i.e. lines of code and number of branches) were better. In this context `better' means correctly identifying a larger proportion of change-prone, error-prone and/or complex programs, while maintaining a relatively low false identification rate (i.e. incorrectly identifying a program which did not in fact exhibit any undesirable features)

Published in:

Software Engineering Journal  (Volume:5 ,  Issue: 1 )