By Topic

Defect-Density Assessment in Evolutionary Product Development: A Case Study in Medical Imaging

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)

Defect density is the ratio between the number of defects and software size. Properly assessing defect density in evolutionary product development requires a strong tool and rigid process support that enables defects to be traced to the offending source code. In addition, it requires waiting for field defects after the product is deployed. To ease the calculation in practice, a proposed method approximates the lifetime number of defects against the software by the number of defects reported in a development period even if the defects are reported against previous product releases. The method uses aggregated code churn to measure the software size. It was applied to two development projects in medical imaging that involved three geographical locations (sites) with about 30 software engineers and 1.354 million lines of code in the released products. The results suggest the approach has some merits and validity, which the authors discuss in the distributed development context. The method is simple and operable and can be used by others with situations similar to ours.

Published in:

Software, IEEE  (Volume:30 ,  Issue: 4 )