Using Structured Text Source Code Metrics and Artificial Neural Networks to Predict Change Proneness at Code Tab and Program Organization Level.
Lov KumarAshish SurekaPublished in: ISEC (2017)
Keyphrases
- program understanding
- artificial neural networks to predict
- source code metrics
- source code
- fault localization
- static analysis
- program comprehension
- information systems
- database
- reverse engineering
- program code
- software engineering
- knowledge management
- computer programs
- structured data
- software maintenance
- open source
- neural network
- software projects
- test cases
- text mining
- data model
- decision trees
- real world