Design of Hybrid Neural Network Model for Quality Evaluation of Object Oriented Software Modules
نویسندگان
چکیده
–The aim of this paper is to evaluate the quality of object oriented modules. In this work neural network approach is used along with PSO (particle swarm optimization) to find out fault prone components of software. The evaluation measures used are Accuracy, MAE (Mean absolute error), RMSE (Root mean square error) and the results are calculated on different iterations. The Accuracy, MAE, RMSE is improved as number of iterations increases. Keywords––Software engineering, Fault proneness, Neural Network, Particle Swarm Optimization.
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