Predicting Fault-Prone Modules Using the Length of Identifiers.

Kimiaki Kawamoto Osamu Mizuno

Published in: IWESEP (2012)

Keyphrases

fault prone
source code
software modules
software quality
open source
software metrics
software systems
software projects
software evolution
source code metrics
software maintenance
feature ranking
software artifacts
quality improvement
software repositories
neural network
real world