Quality Prediction in Object Oriented System by Using ANN: A Brief Survey

At present quality of software systems is a major issue, still well defined criteria to measure it needs to be established. The object-oriented (OO) systems, which is different from procedural paradigm requires valid and effective metrics to assess quality of the software. There is considerable research interest in developing and applying sophisticated techniques to construct models for estimation. The different soft computing techniques such as Artificial Neural Networks (ANN), fuzzy inference systems and adaptive neuro-fuzzy inference systems are available for the prediction purpose. However among these techniques, ANN possesses the advantages of predicting software quality accurately and identifies the defects by efficient discovery mechanisms. This paper aims to survey various research methodologies proposed to predict quality of OO metrics by using neural network approach. Keywords— software quality, maintainability, object oriented, cost estimation, artificial neural network