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Software Requirement Engineering Risk Prediction Model

by Shruti Patil, Roshani Ade
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 2
Year of Publication: 2014
Authors: Shruti Patil, Roshani Ade
10.5120/17784-8545

Shruti Patil, Roshani Ade . Software Requirement Engineering Risk Prediction Model. International Journal of Computer Applications. 102, 2 ( September 2014), 1-6. DOI=10.5120/17784-8545

@article{ 10.5120/17784-8545,
author = { Shruti Patil, Roshani Ade },
title = { Software Requirement Engineering Risk Prediction Model },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 2 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number2/17784-8545/ },
doi = { 10.5120/17784-8545 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:03.331818+05:30
%A Shruti Patil
%A Roshani Ade
%T Software Requirement Engineering Risk Prediction Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 2
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Analysis of many software program assignments from 2011 through 2014 shows interesting patterns. When you compare large assignments that have efficiently attained their own cost as well as schedule quotes versus the ones that ran delayed, ended up over spending budget, or maybe ended up, half a dozen popular difficulties ended up noticed: weak requirement analysis and management, weak cost calculating, weak handling of requirement change requests, weak milestone monitoring as well as requirement gold plating habit. By comparison, prosperous local software program assignments tended to be much better than on-site software development and management. Maybe the most interesting part of most of these many problem areas can be like everyone is coordinating project management instead of using technical focus. Author focused over the impact of software requirement change requests and requirement gold plating while dealing with on-site project assignments. Author also evaluated new algorithmic model to avoid global software engineering requirement failure, which in turn curtails the estimated time and budget with client satisfaction.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Global software engineering Requirement analysis Software development Requirement risk management

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