Prioritizing Unit Testing Effort Using Software Metrics and Machine Learning Classifiers (S).
Fadel TouréMourad BadriPublished in: SEKE (2018)
Keyphrases
- software metrics
- feature ranking
- machine learning
- development effort
- machine learning algorithms
- feature selection
- machine learning methods
- decision trees
- unit testing
- software systems
- software quality
- support vector machine
- software testing
- software projects
- threshold values
- learning algorithm
- quality assurance
- training data
- naive bayes
- support vector
- source code
- text classification
- test cases
- missing values
- svm classifier
- logistic regression
- text categorization
- classification models
- cooperative
- reverse engineering
- software development
- software engineering
- feature subset selection
- integration testing
- tool suite
- artificial intelligence
- real world
- database systems
- feature selection algorithms
- test set
- open source
- high dimensional