Risk Framework for Open Source Applications Using Agent Oriented Modelling

This paper aims to propose a novel risk framework utilizing agent oriented modelling in order to provide guidelines for the adoption of Open Source Software (OSS) solutions to an organization. Multiple studies have focused on user requirements and technical aspects when implementing OSS solutions. H...

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Main Authors: Teh, J., Bhuiyan, M., Prasad, P., Krishna, Aneesh
Format: Journal Article
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/54589
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author Teh, J.
Bhuiyan, M.
Prasad, P.
Krishna, Aneesh
author_facet Teh, J.
Bhuiyan, M.
Prasad, P.
Krishna, Aneesh
author_sort Teh, J.
building Curtin Institutional Repository
collection Online Access
description This paper aims to propose a novel risk framework utilizing agent oriented modelling in order to provide guidelines for the adoption of Open Source Software (OSS) solutions to an organization. Multiple studies have focused on user requirements and technical aspects when implementing OSS solutions. However, there is a lack of literature focusing on the social aspects of ‘why’ and ’how’ risks of OSS adoption can impact the overall organizational goals and the OSS ecosystem. Therefore, another focus area of this work is to bridge the gap between actors (goals, softgoals, task, and resources) and risk factors when adopting OSS in the organization by proposing new risk measurement and risk prioritization methods. This study is based on literature survey and a case study on OSS adoption in an organization. The research results show that the proposed risk measurement validates the current methods while providing deeper insights into the criticality and strong relationship between actors which in turn assists in proposing appropriate risk response strategies such as delegation of risk among these actors. The result implies that taking ecosystems into consideration is important for risk mitigation.
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institution Curtin University Malaysia
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publishDate 2016
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spelling curtin-20.500.11937-545892017-09-13T16:09:32Z Risk Framework for Open Source Applications Using Agent Oriented Modelling Teh, J. Bhuiyan, M. Prasad, P. Krishna, Aneesh This paper aims to propose a novel risk framework utilizing agent oriented modelling in order to provide guidelines for the adoption of Open Source Software (OSS) solutions to an organization. Multiple studies have focused on user requirements and technical aspects when implementing OSS solutions. However, there is a lack of literature focusing on the social aspects of ‘why’ and ’how’ risks of OSS adoption can impact the overall organizational goals and the OSS ecosystem. Therefore, another focus area of this work is to bridge the gap between actors (goals, softgoals, task, and resources) and risk factors when adopting OSS in the organization by proposing new risk measurement and risk prioritization methods. This study is based on literature survey and a case study on OSS adoption in an organization. The research results show that the proposed risk measurement validates the current methods while providing deeper insights into the criticality and strong relationship between actors which in turn assists in proposing appropriate risk response strategies such as delegation of risk among these actors. The result implies that taking ecosystems into consideration is important for risk mitigation. 2016 Journal Article http://hdl.handle.net/20.500.11937/54589 10.17706/jsw.11.9.833-847 restricted
spellingShingle Teh, J.
Bhuiyan, M.
Prasad, P.
Krishna, Aneesh
Risk Framework for Open Source Applications Using Agent Oriented Modelling
title Risk Framework for Open Source Applications Using Agent Oriented Modelling
title_full Risk Framework for Open Source Applications Using Agent Oriented Modelling
title_fullStr Risk Framework for Open Source Applications Using Agent Oriented Modelling
title_full_unstemmed Risk Framework for Open Source Applications Using Agent Oriented Modelling
title_short Risk Framework for Open Source Applications Using Agent Oriented Modelling
title_sort risk framework for open source applications using agent oriented modelling
url http://hdl.handle.net/20.500.11937/54589