A PSO-GA approach targeting fault-prone software modules

We present an algorithm to classify software modules as fault-prone or not using object-oriented metrics. Our algorithm is a combination of particle swarm intelligence and genetic algorithms. We empirically validate it on eight different data sets. We also compare it to well known classification techniques. Results show that our algorithm has several advantages over other techniques.