An effective approach for regression test case selection using pareto based multi-objective harmony search.
Ankur ChoudharyArun Prakash AgrawalArvinder KaurPublished in: SBST@ICSE (2018)
Keyphrases
- multi objective
- harmony search
- test case selection
- optimization algorithm
- genetic algorithm
- differential evolution
- harmony search algorithm
- evolutionary algorithm
- meta heuristic algorithm
- multi objective optimization
- test cases
- metaheuristic
- optimization method
- particle swarm optimization
- multiobjective optimization
- regression model
- multiple objectives
- threshold accepting
- bp neural network
- objective function
- simulated annealing algorithm
- pareto optimal
- hill climbing
- nsga ii
- particle swarm optimization pso
- support vector regression
- neural network
- bi objective
- fitness function
- support vector
- artificial intelligence
- simulated annealing
- pareto optimal solutions
- machine learning
- test set
- particle swarm
- optimization problems
- multi objective evolutionary algorithms
- genetic algorithm ga