Strong mutation-based test data generation using hill climbing.
Francisco Carlos M. SouzaMike PapadakisYves Le TraonMárcio Eduardo DelamaroPublished in: SBST@ICSE (2016)
Keyphrases
- hill climbing
- test data generation
- genetic algorithm ga
- simulated annealing
- simulated annealing algorithm
- fitness function
- evolutionary algorithm
- genetic algorithm
- search based testing
- search space
- symbolic execution
- test cases
- search algorithm
- test case generation
- genetic programming
- tabu search
- direct search
- search procedure
- hill climbing algorithm
- software testing
- mutation operator
- search strategy
- steepest ascent
- crossover operator
- systematic search
- path finding
- particle swarm optimization pso
- metaheuristic
- generation algorithm
- data sets
- neural network
- case study
- high level
- premature convergence
- differential evolution
- exhaustive search
- test set
- source code
- artificial neural networks
- particle swarm
- solution space