ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

A Defect Prediction Model for Software Product based on ANFIS

Journal: International Journal for Scientific Research and Development | IJSRD (Vol.3, No. 10)

Publication Date:

Authors : ; ;

Page : 1024-1028

Keywords : Defect Prediction; ANFIS; Artificial Intelligence; Fuzzy Logic; ANN;

Source : Downloadexternal Find it from : Google Scholarexternal


Artificial intelligence techniques are day by day getting involvement in all the classification and prediction based process like environmental monitoring, stock exchange conditions, biomedical diagnosis, software engineering etc. However still there are yet to be simplify the challenges of selecting training criteria for design of artificial intelligence models used for prediction of results. This work focus on the defect prediction mechanism development using software metric data of KC1.We have taken subtractive clustering approach for generation of fuzzy inference system (FIS).The FIS rules are generated at different radius of influence of input attribute vectors and the developed rules are further modified by ANFIS technique to obtain the prediction of number of defects in software project using fuzzy logic system.

Last modified: 2016-01-11 18:52:19