NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers.
Jiawei LiuJinkun LinFabian RuffyCheng TanJinyang LiAurojit PandaLingming ZhangPublished in: ASPLOS (2) (2023)
Keyphrases
- test cases
- deep learning
- test data
- unsupervised learning
- test generation
- software testing
- test suite
- machine learning
- unsupervised feature learning
- programming language
- test set
- regression testing
- test sequences
- test case generation
- test case selection
- weakly supervised
- number of test cases
- mental models
- general purpose
- object oriented
- test suite reduction
- test data generation
- model based testing
- learning algorithm
- sequence diagrams
- testing process