Multi-Task Optimization-Based Test Data Generation for Mutation Testing via Relevance of Mutant Branch and Input Variable.
Xiangying DangXiangjuan YaoDunwei GongTian TianBaicai SunPublished in: IEEE Access (2020)
Keyphrases
- multi task
- test data generation
- mutation testing
- test cases
- test generation
- multi task learning
- learning tasks
- test sequences
- simulated annealing algorithm
- software testing
- learning problems
- sparse learning
- test suite
- multi class
- optimization algorithm
- feature selection
- database applications
- transfer learning
- optimization method
- decision trees
- databases
- information gain
- database
- learning experience
- simulated annealing
- data model
- genetic algorithm
- neural network