Identify and Handling of Risk Analysis by Parallelism

Vikash Kumar Sharma; Ms. Savita Shiwani

Identify and Handling of Risk Analysis by Parallelism

Vikash Kumar Sharma * §

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Ms. Savita Shiwani

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Suresh Gyan Vihar University

Identify and Handling of Risk Analysis by Parallelism

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CST7L754

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Abstract

Software industry have its own values in the economic growth of a country. The scenario of this field in the India is also not a small part of the whole. As per the trends India shares almost 20 % of the world’s software economy. The tactics and development processes for the software industries always require a certain amount of improvements and certainty to achieve the target. There can be multiple factors which can affect the development process. In this research paper I am showing a much critical problem of risk handling there resolution. There are various models and methods which we can follow for calculate statically but that is not enough. If we really want to optimize the results as well as the success certainty we should improvise our traditional procedures. In the later part of this paper a short improvisation of my side over the traditional one is shown. This method improves our predictability about risks as well as the rectification of that problem.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Vikash Kumar Sharma, Ms. Savita Shiwani. 2013. "Identify and Handling of Risk Analysis by Parallelism". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C9).

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GJCST Volume 13 Issue C9

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

ladder climbing risk constraints risk estimation risk resolution

Classification

GJCST-C Classification B.2.1

Submission ReceivedDecember 6, 2012
Peer Review Double Blind
Handling Editor
Accepted January 3, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

August 27, 2013

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Vikash Kumar Sharma, Ms. Savita Shiwani (PhD/Dr. count: 0)

View Count (all-time): 449

Total Views (Real + Logic): 3936

Total Downloads (simulated): 197

Publish Date: 2013 01, Tue

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Total Views: 3.9K

Total Downloads: 197

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