By Topic

Team Factors and Failure Processing Efficiency: An Exploratory Study of Closed and Open Source Software Development

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)
Michael Grottke ; Univ. of Erlangen-Nuremberg, Numberg, Germany ; Lars M. Karg ; Arne Beckhaus

Researchers in the field of software engineering economics have associated team factors, such as team size and team experience, with productivity and quality. Since distributed and open source development have gained significance in the past few years, further empirical investigation is needed. Our study contributes to the empirical body of knowledge by addressing this development. In particular, we investigate the association between team factors and failure processing efficiency for closed source software releases of a large commercial software vendor and for open source software projects registered with We find significant links between team experience and the failure processing efficiency. However, our data does not show any evidence for adverse effects of distributed development. Our results further suggest that service level agreements and process governance are good tools to guarantee satisfactory processing times.

Published in:

2010 IEEE 34th Annual Computer Software and Applications Conference

Date of Conference:

19-23 July 2010