2016
DOI: 10.9734/bjmcs/2016/29644
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Defect Prediction Framework Using Adaptive Neuro-Fuzzy Inference System (ANFIS) for Software Enhancement Projects

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Cited by 6 publications
(3 citation statements)
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“…Vashisht and et al, introduced a new model to predict successful of agile software project by using neuro -fuzzy. This paper displays that the precise of the proposed model is 93.4% [31]. The importance of this research is to use neuro -fuzzy model for predicting successful of agile software projects.…”
Section: Related Workmentioning
confidence: 92%
“…Vashisht and et al, introduced a new model to predict successful of agile software project by using neuro -fuzzy. This paper displays that the precise of the proposed model is 93.4% [31]. The importance of this research is to use neuro -fuzzy model for predicting successful of agile software projects.…”
Section: Related Workmentioning
confidence: 92%
“…Vipul Vashisht et al designed a frame work for Defect prediction using Adaptive Neuro Fuzzy Inference System. He found the accuracy of validation for 10 projects during requirement analysis and construction as 93.4% [6]. Juan Murillo Morera designed a frame work for software effort prediction using genetic algorithm.…”
Section: Research Articlementioning
confidence: 99%
“…[26]. Researcher opinion, the neuro-fuzzy model can find the optimal prediction for successful of agile software projects.…”
Section: Intelligent Techniques Of Agile Software Projectsmentioning
confidence: 99%