By Topic

Analyzing and Modeling Open Source Software Bug Report Data

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

2 Author(s)
Fengzhong Zou ; Univ. of Sydney, Sydney ; Joseph Davis

We analyzed the major differences between closed and open source software development from a software reliability perspective. We examined real world bug report data from six open source software projects, as well as the relationship between the release cycles and the stability characteristics of the bug report data of open source software projects. We then modeled the bug report data using nonparametric techniques. The experimental results suggest that generalized additive models and exponential smoothing approaches are suitable for the estimation of software reliability at least for some of the open source projects.

Published in:

19th Australian Conference on Software Engineering (aswec 2008)

Date of Conference:

26-28 March 2008