Software risk assessment model

The software industry has grown rapidly with the increasing applications of information technology. Just like any development projects. Failure to develop software according to specifications or within budget, or to deliver software products on time can be costly. In this paper, a new model for the...

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Main Authors:	Foo, Say Wei, Arumugam Muruganantham
Other Authors:	IEEE International Conference on Management of Innovation and Technology (1st : 2000 : Singapore)
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Online Access:	https://hdl.handle.net/10356/90830 http://hdl.handle.net/10220/4607
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-90830
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spelling	sg-ntu-dr.10356-908302019-12-06T17:54:48Z Software risk assessment model Foo, Say Wei Arumugam Muruganantham IEEE International Conference on Management of Innovation and Technology (1st : 2000 : Singapore) The software industry has grown rapidly with the increasing applications of information technology. Just like any development projects. Failure to develop software according to specifications or within budget, or to deliver software products on time can be costly. In this paper, a new model for the assessment of risk in software projects is proposed. The model, named Software Risk Assessment Model (SRAM), makes use of a comprehensive questionnaire. Test results show that using the risk indicator obtained from the SRAM, it is possible to predict the possible outcome of software projects with good accuracy. Accepted version 2009-05-22T05:58:35Z 2019-12-06T17:54:48Z 2009-05-22T05:58:35Z 2019-12-06T17:54:48Z 2000 2000 Conference Paper Foo, S. W., & Arumugam, M. (2000). Software risk assessment model. IEEE International Conference on Management of Innovation and Technology, 2, 536-544. https://hdl.handle.net/10356/90830 http://hdl.handle.net/10220/4607 en © IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. 9 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
description	The software industry has grown rapidly with the increasing applications of information technology. Just like any development projects. Failure to develop software according to specifications or within budget, or to deliver software products on time can be costly. In this paper, a new model for the assessment of risk in software projects is proposed. The model, named Software Risk Assessment Model (SRAM), makes use of a comprehensive questionnaire. Test results show that using the risk indicator obtained from the SRAM, it is possible to predict the possible outcome of software projects with good accuracy.
author2	IEEE International Conference on Management of Innovation and Technology (1st : 2000 : Singapore)
author_facet	IEEE International Conference on Management of Innovation and Technology (1st : 2000 : Singapore) Foo, Say Wei Arumugam Muruganantham
format	Conference or Workshop Item
author	Foo, Say Wei Arumugam Muruganantham
spellingShingle	Foo, Say Wei Arumugam Muruganantham Software risk assessment model
author_sort	Foo, Say Wei
title	Software risk assessment model
title_short	Software risk assessment model
title_full	Software risk assessment model
title_fullStr	Software risk assessment model
title_full_unstemmed	Software risk assessment model
title_sort	software risk assessment model
publishDate	2009
url	https://hdl.handle.net/10356/90830 http://hdl.handle.net/10220/4607
_version_	1681043412388675584

Software risk assessment model

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