Cost-sensitive and ensemble-based prediction model for outsourced software project risk prediction.
Yong HuBin FengXizhu MoXiangzhou ZhangE. W. T. NgaiMing FanMei LiuPublished in: Decis. Support Syst. (2015)
Keyphrases
- prediction model
- cost sensitive
- software projects
- risk management
- project managers
- base classifiers
- multi class
- misclassification costs
- software development
- neural network
- project management
- cost sensitive classification
- cost sensitive learning
- source code
- software engineering
- regression model
- naive bayes
- software project management
- risk factors
- class distribution
- software systems
- stepwise regression
- active learning
- class imbalance
- development process
- exponential smoothing
- support vector machine
- effort estimation
- risk assessment
- ls svm
- learning algorithm
- knowledge discovery
- training set
- data mining
- data sets