An introduction to few soft computing techniques to predict software quality
Neeraj Juneja, Kamal Upreti · 2017 2nd International Conference on Telecommunication and Networks (TEL-NET) · 2017
Soft computing is combination of various computation methodologies. It is being widespread among various researchers and organizations due to increase in demand of software quality and changing business rules. Soft computing techniques are used to produce results and analysis that measures capricious phenomenon of human mind like partial truth, uncertainty of beliefs and approximation. The paper presents brief overview of soft computing techniques like Artificial Neural Networks (ANN), Fuzzy Logic systems (FLS), Radial Basis Function (RBF) and many more. A soft computing framework has been proposed to predict quality of software by calculating error in weights of different nodes of Multi-layer perceptron (MLP) neural network with the help of Neuphron open source framework.