UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1901F31


Registration ID:
314887

Page Number

980-985

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Title

An analysis on Industrial automation: a model-driven approach to requirements engineering

Abstract

Model Driven Requirements Engineering (MDRE) is a proposal to deal with the increasing complexity of technological systems by presenting requirement specifications as formal models that are correct, complete, consistent, unambiguous, and easy to read and maintain. This paper mainly discusses about the analysis on Industrial automation: a model-driven approach to requirements engineering.

Key Words

Industrial Automation Systems, Model Driven Requirements Engineering

Cite This Article

"An analysis on Industrial automation: a model-driven approach to requirements engineering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.980-985, January-2019, Available :http://www.jetir.org/papers/JETIR1901F31.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

"An analysis on Industrial automation: a model-driven approach to requirements engineering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp980-985, January-2019, Available at : http://www.jetir.org/papers/JETIR1901F31.pdf

Publication Details

Published Paper ID: JETIR1901F31
Registration ID: 314887
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 980-985
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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