On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring.
Boukhdhir AmalMarouane KessentiniSlim BechikhJosselin DeaLamjed Ben SaidPublished in: SSBSE (2014)
Keyphrases
- search based software engineering
- fitness function
- machine learning
- genetic programming
- genetic algorithm
- genetic algorithm ga
- evolutionary algorithm
- engineering problems
- evolutionary computation
- software systems
- genetic operators
- source code
- constrained optimization problems
- evolutionary search
- penalty function
- search space
- metaheuristic
- crossover and mutation
- case study
- test data generation
- multiple objectives
- crossover operator
- software evolution
- binary particle swarm optimization
- fitness evaluation
- particle swarm optimisation
- nsga ii
- neural network
- particle swarm
- mutation operator
- evolutionary process
- feature selection
- simulated annealing
- cost function
- multi objective
- artificial neural networks
- artificial intelligence
- multi agent systems
- objective function