Putting Them under Microscope: A Fine-Grained Approach for Detecting Redundant Test Cases in Natural Language.
Zhiyuan ChangMingyang LiJunjie WangQing WangShoubin LiPublished in: CoRR (2022)
Keyphrases
- fine grained
- test cases
- natural language
- coarse grained
- software testing
- test sequences
- test data
- black box
- test suite
- test data generation
- regression testing
- number of test cases
- test case selection
- test suite reduction
- access control
- test generation
- object oriented
- test set
- tightly coupled
- set of test cases
- machine learning
- test case generation
- natural language processing
- testing process
- integration testing
- knowledge representation
- artificial intelligence
- general purpose