A Learning-to-Rank Based Approach for Improving Regression Test Case Prioritization.
Chu-Ti LinSheng-Hsiang YuanJutarporn IntasaraPublished in: APSEC (2021)
Keyphrases
- learning to rank
- test cases
- regression testing
- active sampling
- information retrieval
- ranking functions
- loss function
- test suite
- evaluation measures
- test data
- test case selection
- software testing
- ranking svm
- test case generation
- direct optimization
- set of test cases
- software maintenance
- number of test cases
- document retrieval
- test suite reduction
- learning to rank algorithms
- retrieval systems
- gaussian processes
- collaborative filtering
- testing process
- test collection
- test set
- regression model
- data sets
- directly optimize
- learning algorithm
- query dependent
- support vector
- balancing exploration and exploitation
- pairwise
- image retrieval