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Design and Implementation of Neuro Fuzzy model for Software Development Time Estimation

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 86 - Number 5
Year of Publication: 2014
Shina Dhingra
Palvinder Singh Mann

Shina Dhingra and Palvinder Singh Mann. Article: Design and Implementation of Neuro Fuzzy model for Software Development Time Estimation. International Journal of Computer Applications 86(5):7-12, January 2014. Full text available. BibTeX

	author = {Shina Dhingra and Palvinder Singh Mann},
	title = {Article: Design and Implementation of Neuro Fuzzy model for Software Development Time Estimation},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {86},
	number = {5},
	pages = {7-12},
	month = {January},
	note = {Full text available}


To develop a project successfully, it is important for any organization that the project should be completed within budget, on time and the project should have requisite quality. This paper presents an Adaptive Neuro-Fuzzy Approach for Software Development Time Estimation. This proposed technique is aimed at building and evaluating a Neuro - fuzzy model using three (3) membership functions (MFs) for software project development time. The forty one modules were used as a data set. Our proposed approach for Neuro fuzzy using 3 membership functions i. e. Gaussian MF (GMF), Triangular MF (Tri MF) and Trapezoidal MF (Trap MF) is compared with neural network models and the results show that values of various relative error parameters for Neuro-fuzzy is lower than the values of parameters applying neural network.


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