UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 10
October-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1701738


Registration ID:
321004

Page Number

291-302

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Title

SCRUM PROJECT RISK IDENTIFICATION AND EVALUATION USING FUZZY LOGIC

Abstract

Agile Scrum is identified as the most widely used project management system in the current industry as it is able to easily adapt to changing business needs. As a result, there is a growing trend for using Scrum as a project management tool in many software development projects. The Scrum framework is a program that focuses on customer satisfaction through collaboration and communication. Therefore, Scrum is a method with some random features, compared to other project management methods. Risk Managements are key areas that significantly affect the success rate of Software development projects. Risk Management defines the ability to manage a project seamlessly in different situations. In several cases Scrum has given successful result but in some cases it was found not suitable for the specific project. In this research study we have identified some risk factors and its priortization.

Key Words

AGILE SCRUM, PROJECT RISK, RISK FACTORS, FUZZY LOGIC, RULE BASE.

Cite This Article

"SCRUM PROJECT RISK IDENTIFICATION AND EVALUATION USING FUZZY LOGIC", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 10, page no.291-302, October-2015, Available :http://www.jetir.org/papers/JETIR1701738.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SCRUM PROJECT RISK IDENTIFICATION AND EVALUATION USING FUZZY LOGIC", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 10, page no. pp291-302, October-2015, Available at : http://www.jetir.org/papers/JETIR1701738.pdf

Publication Details

Published Paper ID: JETIR1701738
Registration ID: 321004
Published In: Volume 2 | Issue 10 | Year October-2015
DOI (Digital Object Identifier):
Page No: 291-302
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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