UGC Approved Journal no 63975(19)

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

Volume 2 Issue 12
December-2015
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1701740


Registration ID:
321003

Page Number

315-325

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Title

TEAM FACTOR EVALUATION TO ENHANCE AGILITY IN AGILE SOFTWARE PROJECT DEVELOPMENT USING MACHINE LEARNING

Abstract

In modern times, the software industry has revolutionized the old way of software development. The Agile approach strongly emphasizes increased delivery, reduced risk and customer satisfaction and in modern times, one of the factors in the successful completion of a project is the team factors. The amount of machine learning, performance intelligence or software engineering projects related to agile team data using the agile method agility is growing. However, there are very few studies on how such projects work. In this paper, we have analyzed agile team factors impact for the enhancement of the agility using the machine learning approach.

Key Words

AGILE TEAM, FUZZY RULE BASE, FUZZY INFERENCE SYSTEM, MACHINE LEARNING, NEURAL NETWORK, TEAM SUB FACTORS.

Cite This Article

"TEAM FACTOR EVALUATION TO ENHANCE AGILITY IN AGILE SOFTWARE PROJECT DEVELOPMENT USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 12, page no.315-325, December-2015, Available :http://www.jetir.org/papers/JETIR1701740.pdf

ISSN


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

"TEAM FACTOR EVALUATION TO ENHANCE AGILITY IN AGILE SOFTWARE PROJECT DEVELOPMENT USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp315-325, December-2015, Available at : http://www.jetir.org/papers/JETIR1701740.pdf

Publication Details

Published Paper ID: JETIR1701740
Registration ID: 321003
Published In: Volume 2 | Issue 12 | Year December-2015
DOI (Digital Object Identifier):
Page No: 315-325
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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