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Predicting high-risk program modules by selecting the right software measurements.
Kehan Gao
Taghi M. Khoshgoftaar
Naeem Seliya
Published in:
Softw. Qual. J. (2012)
Keyphrases
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high risk
fault prone
software modules
software quality
source code
risk factors
program understanding
prostate cancer
static analysis
software metrics
software systems
test cases
software development
software projects
abnormal behavior
open source
software components