Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation.
Xin WangXiao LiuPingyi ZhouQixia LiuJin LiuHao WuXiaohui CuiPublished in: ASE (2022)
Keyphrases
- code generation
- multi task learning
- multi task
- model driven
- code generator
- application development
- modeling language
- software development
- multiple tasks
- gaussian processes
- learning tasks
- multitask learning
- learning problems
- high order
- formal specification
- transfer learning
- software reuse
- data driven
- rapid prototyping
- software engineering
- machine learning
- learning algorithm
- decision trees
- multi class
- learning models
- design patterns
- test cases
- design tools
- data management
- training data
- data processing
- data sets
- theoretical analysis
- real world