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ISSN: 2165- 7866

Journal of Information Technology & Software Engineering
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Review Article

An Improved Model for Requirement Management System

Hafeez MS1*, Farhan Rasheed1 and Khan MR2

1Department of Software Engineering, Foundation University, Islamabad

2Department of Computer Sciences, Comsats Institute of Information Technology, Attock

*Corresponding Author:
Mohammad Salman Hafeez
Department of Software Engineering, Foundation University
Islamabad, Jordan
Tel: + 923009769689
E-mail: [email protected]

Received Date: December 21, 2016; Accepted Date: January 20, 2017; Published Date: January 27, 2017

Citation: Hafeez MS, Farhan Rasheed, Khan MR (2017) An Improved Model for Requirement Management System. J Inform Tech Softw Eng 7: 196. doi: 10.4172/2165-7866.1000196

Copyright: © 2017 Hafeez MS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Requirement engineering is the most important part of the modern software engineering, which evolved over decades and become a science. It probably plays the most vital part in success of the software system. The requirements management world has developed considerably in the last decade and has increasingly become one of the bases of successful software and systems engineering projects. Managing requirements is not an easy task; in order to record good requirements and manage the changes afterwards is the trickiest part. Many researchers around the world have worked on optimization of the requirement management process. In this paper we propose a model which is and improved version of the model by Nathan W Mogk. To overcome the limitations of that model we proposed a comprehensive model with focus on the limitation of this model and provide an enhanced model. This paper is the extension of the requirements management system based on an optimization model of the design process.

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