A Comparative Study of Different Source Code Metrics and Machine Learning Algorithms for Predicting Change Proneness of Object Oriented Systems.
Lov KumarAshish SurekaPublished in: CoRR (2017)
Keyphrases
- machine learning algorithms
- source code metrics
- object oriented systems
- source code
- learning algorithm
- benchmark data sets
- software maintenance
- machine learning
- object oriented design
- machine learning methods
- object oriented
- learning problems
- decision trees
- predictive accuracy
- software engineering
- program comprehension
- random forests
- machine learning approaches
- software quality
- white box
- software systems
- program understanding
- machine learning models
- standard machine learning algorithms
- black box
- software development
- data sets
- training data
- reinforcement learning
- software projects
- development process