Skip to Main Content Area
CPS-VO
Contact Support
Browse
Calendar
Announcements
Repositories
Groups
Search
Search for Content
Search for a Group
Search for People
Search for a Project
Tagcloud
› Go to login screen
Not a member?
Click here to register!
Forgot username or password?
Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
class-level granularity
biblio
Predicting Fault-Prone Classes in Object-Oriented Software: An Adaptation of an Unsupervised Hybrid SOM Algorithm
Submitted by grigby1 on Thu, 12/28/2017 - 1:30pm
software quality
Predictive Metrics
Predictive models
predictive security metrics
pubcrawl
self-organising feature maps
Self-Organizing Map
semisupervised fault-proneness prediction models
software metrics
Prediction algorithms
Software systems
source code (software)
supervised learning algorithms
Unsupervised Fault-Proneness Prediction
unsupervised fault-proneness prediction models
unsupervised hybrid SOM algorithm
Unsupervised Learning
Adaptation models
object-oriented software systems
object-oriented programming
Object-Oriented Metrics Threshold Values
Object oriented modeling
Naive Bayes Network
Multilayer Perceptron
Metrics
Measurement
HySOM model
function-level source code metrics
fault-prone code identification
fault-prone classes prediction model
fault data history
Data models
class-level granularity
