Extracting Meaningful Attention on Source Code: An Empirical Study of Developer and Neural Model Code Exploration.
Matteo PaltenghiRahul PanditaAustin Z. HenleyAlbert ZieglerPublished in: CoRR (2022)
Keyphrases
- source code
- neural model
- extracting meaningful
- open source
- neural network
- software systems
- recurrent neural networks
- open source software
- static analysis
- control scheme
- software projects
- data mining
- software maintenance
- information extraction
- software evolution
- open source projects
- association rules
- version control
- mailing lists
- linux kernel
- program understanding
- text files
- machine learning
- high level
- software repositories
- bug reports
- reverse engineer
- legacy software
- source files
- software artifacts
- multi layer perceptron
- support vector
- programming language
- program slicing
- feed forward
- dynamic model
- pso algorithm