UGC Approved Journal no 63975(19)

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

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1806858


Registration ID:
305714

Page Number

433-439

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Title

Improve Software Development Quality Using ML Practices

Abstract

In order to keep up with innovations and incredibly quickly software development, research methods have evolved over the past four decades. Companies today are rapidly investing in machine learning (ML) to remain competitive. The development of applications is fraught with difficulties, and many are now designing AI-based solutions to address these challenges. Additionally, the ability that the system holds to learn inherently adds more uncertainties to the entire system. Considering the rise in popularity of implementing ML into the systems, there are still challenges on how the addition interferes with software development practices. In order to improve software functionality and retain its efficacy, the software is an object that continues to evolve and undergo continual changes. Some difficulties are faced during the production of applications, often with advanced preparation, transparent reporting, and proper process management. Such bugs impair the consistency of applications in one direction or the other, and may lead to failure. Therefore, everyone has to monitor and mitigate these flaws in information engineering in today's competition. Models for software prediction are usually used to map the dynamics of software groups vulnerable to alteration. The paper will also drive the paper to rigorous experimentation from literature reviews to discover all sorts of data collection alternatives. The main views addressed are; machine learning as a technology used in enhancing software development and the parameters quantification which impacts the productivity, functionality, and quality of software.

Key Words

Machine learning, software development, frameworks.

Cite This Article

"Improve Software Development Quality Using ML Practices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.433-439, June-2018, Available :http://www.jetir.org/papers/JETIR1806858.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

"Improve Software Development Quality Using ML Practices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp433-439, June-2018, Available at : http://www.jetir.org/papers/JETIR1806858.pdf

Publication Details

Published Paper ID: JETIR1806858
Registration ID: 305714
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.25775
Page No: 433-439
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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