Username   Password       Forgot your password?  Forgot your username? 

ISSUES BY YEAR

Volume 13 - 2017

Volume 12 - 2016

Volume 11 - 2015

Volume 10 - 2014

Volume 9 - 2013

Volume 8 - 2012

Volume 7 - 2011

Volume 6 - 2010

Volume 5 - 2009

Volume 4 - 2008

Volume 3 - 2007

Volume 2 - 2006

 

A Software Reliability Growth Model for Estimating Debugging and the Learning Indices

Volume 8, Number 5, September 2012 - Paper 8 - pp. 539-549

R. SUBBURAJ1, G. GOPAL2 and P. K. KAPUR3

1 Department of Information Technology, SRM University, SRM Nagar, Kattankulathur (Chennai),
   Kancheepuram District, Tamil Nadu - 603203, Tamil Nadu, India
2 Department of Statistics, University of Madras, Chennai 600 005, India      
3 Amity International Business School, Amity University, Noida, India.

(Received on November 28, 2010, revised on June 17, 2011 and June 18, 2012)

Abstract:

Most Software Reliability Growth Models (SRGMs) ignore either the learning phenomenon of the testing team or quality of debugging or both for the sake of simplicity. Some SRGMs consider imperfect debugging tightly integrated with the learning phenomenon. In practice, imperfect debugging and the learning phenomenon of the testing team are independent of each other since the former indicates quality of debugging process and the latter the quality of the testing process, usually carried out by different teams.   Furthermore, sometimes the debugging team may find and correct some more faults in addition to the faults which caused the failures leading to what is known as efficient debugging. In this paper, a new mathematically derived SRGM is proposed, which also provides estimates of various quality metrics such as the number of faults in the software system, debugging and the learning indices.  The proposed SRGM seems to describe the time to failure data of many software projects satisfactorily.

 

References: 15

Click here to download the paper.

Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

 

Important Access Information

Individuals, Institutions and Corporations with access via userid and password:

If you have a valid userid and password, you will need to login at the top of the screen. All volumes that are authorized by your subscription will be available for download. If you are not authorized, you will see an 'add to cart' option and you have the choice of purchasing the articles. You may also apply for subscription from our Subscription page.

 

If you cannot access any paper and you feel your subscription entitles you to access, please notify us by using the contact form on the Contact Us page. Please provide as much detail as possible.

 

Institutions and Corporations with access via IP addresses:

If you have a subscription via IP addresses, all volumes that are authorized by your subscription will be available for download. If you are not authorized, you will see an 'add to cart' option and you have the choice of purchasing the articles. You may also apply for subscription from our Subscription page.

 

If you cannot access any paper and you feel your subscription entitles you to access, please verify that the EXTERNAL IP address of your computer is authorized. Before contacting us, contact your system administrator and confirm if the IP address of your network has been authorized for access. To find out the EXTERNAL IP address of your network, simply open any Internet browser and point it to : http://www.WhatIsMyIP.com. Your EXTERNAL IP address will be shown in the browser window.

 

Once you have this information, you may email us using the contact form on the Contact Us page. Please provide as much detail as possible. You may also email a screenshot of the browser to :subscriptions@IJPE-Online.com

 

Thank you for your understanding. We will try our best to reply within 24-48 hours.

This site uses encryption for transmitting your passwords. ratmilwebsolutions.com