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PHandler: An expert system for a scalable software requirements prioritization process

Software requirements engineering is a critical discipline in the software development life cycle. The major problem in software development is the selection and prioritization of the requirements in order to develop a system of high quality. This research analyzes the issues associated with existin...

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Main Authors:	Babar, Muhammad Imran, Ghazali, Masitah, Jawawi, Dayang Norhayati Abang, Shamsuddin, Siti Mariyam, Ibrahim, Noraini
Format:	Article
Published:	Elsevier 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/58817/ http://dx.doi.org/10.1016/j.knosys.2015.04.010
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id	my.utm.58817
record_format	eprints
spelling	my.utm.588172021-12-13T01:47:37Z http://eprints.utm.my/id/eprint/58817/ PHandler: An expert system for a scalable software requirements prioritization process Babar, Muhammad Imran Ghazali, Masitah Jawawi, Dayang Norhayati Abang Shamsuddin, Siti Mariyam Ibrahim, Noraini QA75 Electronic computers. Computer science Software requirements engineering is a critical discipline in the software development life cycle. The major problem in software development is the selection and prioritization of the requirements in order to develop a system of high quality. This research analyzes the issues associated with existing software requirement prioritization techniques. One of the major issues in software requirement prioritization is that the existing techniques handle only toy projects or software projects with very few requirements. The current techniques are not suitable for the prioritization of a large number of requirements in projects where requirements may grow to the hundreds or even thousands. The research paper proposes an expert system, called the Priority Handler (PHandler), for requirement prioritization. PHandler is based on the value-based intelligent requirement prioritization technique, neural network and analytical hierarchical process in order to make the requirement prioritization process scalable. The back-propagation neural network is used to predict the value of a requirement in order to reduce the extent of expert biases and make the PHandler efficient. Moreover, the analytical hierarchy process is applied on prioritized groups of requirements in order to enhance the scalability of the requirement prioritization process. Elsevier 2015 Article PeerReviewed Babar, Muhammad Imran and Ghazali, Masitah and Jawawi, Dayang Norhayati Abang and Shamsuddin, Siti Mariyam and Ibrahim, Noraini (2015) PHandler: An expert system for a scalable software requirements prioritization process. Knowledge-Based Systems, 84 . pp. 179-202. ISSN 0950-7051 http://dx.doi.org/10.1016/j.knosys.2015.04.010 DOI:10.1016/j.knosys.2015.04.010
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Babar, Muhammad Imran Ghazali, Masitah Jawawi, Dayang Norhayati Abang Shamsuddin, Siti Mariyam Ibrahim, Noraini PHandler: An expert system for a scalable software requirements prioritization process
description	Software requirements engineering is a critical discipline in the software development life cycle. The major problem in software development is the selection and prioritization of the requirements in order to develop a system of high quality. This research analyzes the issues associated with existing software requirement prioritization techniques. One of the major issues in software requirement prioritization is that the existing techniques handle only toy projects or software projects with very few requirements. The current techniques are not suitable for the prioritization of a large number of requirements in projects where requirements may grow to the hundreds or even thousands. The research paper proposes an expert system, called the Priority Handler (PHandler), for requirement prioritization. PHandler is based on the value-based intelligent requirement prioritization technique, neural network and analytical hierarchical process in order to make the requirement prioritization process scalable. The back-propagation neural network is used to predict the value of a requirement in order to reduce the extent of expert biases and make the PHandler efficient. Moreover, the analytical hierarchy process is applied on prioritized groups of requirements in order to enhance the scalability of the requirement prioritization process.
format	Article
author	Babar, Muhammad Imran Ghazali, Masitah Jawawi, Dayang Norhayati Abang Shamsuddin, Siti Mariyam Ibrahim, Noraini
author_facet	Babar, Muhammad Imran Ghazali, Masitah Jawawi, Dayang Norhayati Abang Shamsuddin, Siti Mariyam Ibrahim, Noraini
author_sort	Babar, Muhammad Imran
title	PHandler: An expert system for a scalable software requirements prioritization process
title_short	PHandler: An expert system for a scalable software requirements prioritization process
title_full	PHandler: An expert system for a scalable software requirements prioritization process
title_fullStr	PHandler: An expert system for a scalable software requirements prioritization process
title_full_unstemmed	PHandler: An expert system for a scalable software requirements prioritization process
title_sort	phandler: an expert system for a scalable software requirements prioritization process
publisher	Elsevier
publishDate	2015
url	http://eprints.utm.my/id/eprint/58817/ http://dx.doi.org/10.1016/j.knosys.2015.04.010
_version_	1720436891018330112
score	13.211869

PHandler: An expert system for a scalable software requirements prioritization process

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