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Computer Science > Software Engineering

arXiv:1912.11855 (cs)
[Submitted on 26 Dec 2019]

Title:Software Effort Estimation using Neuro Fuzzy Inference System: Past and Present

Authors:Aditi Sharma, Ravi Ranjan
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Abstract:Most important reason for project failure is poor effort estimation. Software development effort estimation is needed for assigning appropriate team members for development, allocating resources for software development, binding etc. Inaccurate software estimation may lead to delay in project, over-budget or cancellation of the project. But the effort estimation models are not very efficient. In this paper, we are analyzing the new approach for estimation i.e. Neuro Fuzzy Inference System (NFIS). It is a mixture model that consolidates the components of artificial neural network with fuzzy logic for giving a better estimation.
Subjects: Software Engineering (cs.SE); Machine Learning (cs.LG)
Cite as: arXiv:1912.11855 [cs.SE]
  (or arXiv:1912.11855v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.1912.11855
Journal reference: International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 2017

Submission history

From: Aditi Sharma [view email]
[v1] Thu, 26 Dec 2019 12:55:38 UTC (451 KB)
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