Putting them under microscope: a fine-grained approach for detecting redundant test cases in natural language.
Zhiyuan ChangMingyang LiJunjie WangQing WangShoubin LiPublished in: ESEC/SIGSOFT FSE (2022)
Keyphrases
- fine grained
- test cases
- natural language
- coarse grained
- test data
- access control
- test sequences
- software testing
- test data generation
- test case generation
- black box
- test generation
- test suite
- test set
- regression testing
- number of test cases
- object oriented
- tightly coupled
- testing process
- test case selection
- natural language processing
- model based testing
- set of test cases
- test suite reduction
- integration testing
- data lineage
- knowledge representation
- anomaly detection
- machine learning