System Maintenance:
There may be intermittent impact on performance while updates are in progress. We apologize for the inconvenience.
By Topic

Software metrics enhance test data generation and productivity measurement

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 $13
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

2 Author(s)
Jabbar, A. ; Dept. of Inf. Technol., Bharathiar Univ., Coimbatore, India ; Subramani, S.

The adequate approach immensely desirable in test data generation as it is a difficult and costly task in system development process. Software metrics is successfully implemented to analyze the source code and to measure the performance of test data generation. In this work estimation of distribution algorithms employed the test data generation, which has been previously applied to the test data generation and using this data to compute the effort and productivity. The predictive capability of metrics is explored with respective outcome. It shows that the test data generation and productivity estimation based product metrics is also implemented effectively.

Published in:

Information and Communication Technologies (WICT), 2011 World Congress on

Date of Conference:

11-14 Dec. 2011