Smart Prediction Method of Software Defect Using Neuro-Fuzzy Approach
DOI:
https://doi.org/10.51983/ajcst-2018.7.2.1878Keywords:
Neuro-Fuzzy Approach, Smart Prediction, Software, DefectAbstract
Faults in software program structures continue to be a primary problem. A software fault is a disorder that reasons software failure in an executable product. A form of software fault predictions techniques were proposed, however none has proven to be continually correct. So, on this examine the overall performance of the Adaptive Neuro Fuzzy Inference System (ANFIS) in predicting software program defects and software program reliability has been reviewed. The datasets are taken from NASA Metrics Data Program (MDP) statistics repository. In the existing work a synthetic intelligence technique viz. Adaptive Neuro Fuzzy Inference System (ANFIS) goes for use for software disorder prediction.
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