By Topic

Optimal release policy for hyper-geometric distribution software-reliability growth model

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
$33 $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

3 Author(s)
Rong-Huei Bou ; Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Sy-Yen Kuo ; Yi-Ping Chang

The hyper-geometric distribution software-reliability growth model (HGDM) can estimate the number of initial faults in a software program. An important problem in software development is to determine when to stop testing and then release the software. This paper mainly investigates the optimal software release policies which minimize the mean total software cost and satisfy the software-reliability requirement based on the HGDM. The optimal software release times are determined and shown to be finite. A numerical example illustrates these optimal software release policies

Published in:

IEEE Transactions on Reliability  (Volume:45 ,  Issue: 4 )