Are deep neural networks the best choice for modeling source code?
Vincent J. HellendoornPremkumar T. DevanbuPublished in: ESEC/SIGSOFT FSE (2017)
Keyphrases
- source code
- neural network
- open source
- impact analysis
- software systems
- software maintenance
- open source software
- software projects
- plagiarism detection
- static analysis
- software engineers
- open source projects
- software evolution
- version control
- case study
- linux kernel
- software repositories
- mailing lists
- object oriented systems
- program comprehension
- high level
- reusable components
- symbolic execution
- execution traces
- code reuse
- source files
- free software
- authorship attribution
- legacy systems
- software development
- real world