Empirical Study about Class Change Proneness Prediction using Software Metrics and Code Smells.
Antônio Diogo Forte MartinsCristiano Sousa MeloJosé Maria MonteiroJavam de Castro MachadoPublished in: ICEIS (1) (2020)
Keyphrases
- empirical studies
- software metrics
- software systems
- reverse engineering
- software projects
- source code
- software quality
- quality assurance
- feature ranking
- threshold values
- program slicing
- prediction accuracy
- software development
- empirical analysis
- software repositories
- software maintenance
- monitoring system
- design patterns
- software engineering
- quality improvement
- decision trees
- software evolution
- software components
- logistic regression
- object oriented
- multi agent
- machine learning