Multiple Risk Management Process Supported by Ontology

Multiple Projects Development Environments have evolved recently. However, most available environments do not provide risk management process support to the project manager’s activities. This support could be provided through the analysis of the interactions between projects. One of the main weaknes...

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Hauptverfasser:	de Gusmão, Cristine Martins Gomes, de Moura, Hermano Perrelli
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Computer science control theory systems Exact sciences and technology Information systems. Data bases Memory organisation. Data processing Multiple Project Project Risk Risk Management Software Software Development Project Software engineering Software Process Improvement
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creator	de Gusmão, Cristine Martins Gomes de Moura, Hermano Perrelli
description	Multiple Projects Development Environments have evolved recently. However, most available environments do not provide risk management process support to the project manager’s activities. This support could be provided through the analysis of the interactions between projects. One of the main weaknesses of the approaches up to now is that risk management process improvement based on the risks between ongoing projects and completed ones is being neglected. In this light, we propose the creation of a Risk Management Model for Multiple Project Environments to treat the risk interactions between projects.
doi_str_mv	10.1007/11767718_47
format	Conference Proceeding
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However, most available environments do not provide risk management process support to the project manager’s activities. This support could be provided through the analysis of the interactions between projects. One of the main weaknesses of the approaches up to now is that risk management process improvement based on the risks between ongoing projects and completed ones is being neglected. In this light, we propose the creation of a Risk Management Model for Multiple Project Environments to treat the risk interactions between projects.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Information systems. Data bases</subject><subject>Memory organisation. 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Data processing</topic><topic>Multiple Project</topic><topic>Project Risk</topic><topic>Risk Management</topic><topic>Software</topic><topic>Software Development Project</topic><topic>Software engineering</topic><topic>Software Process Improvement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Gusmão, Cristine Martins Gomes</creatorcontrib><creatorcontrib>de Moura, Hermano Perrelli</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Gusmão, Cristine Martins Gomes</au><au>de Moura, Hermano Perrelli</au><au>Vierimaa, Matias</au><au>Münch, Jürgen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multiple Risk Management Process Supported by Ontology</atitle><btitle>Lecture notes in computer science</btitle><date>2006</date><risdate>2006</risdate><spage>462</spage><epage>465</epage><pages>462-465</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540346821</isbn><isbn>9783540346821</isbn><eisbn>9783540346838</eisbn><eisbn>354034683X</eisbn><abstract>Multiple Projects Development Environments have evolved recently. However, most available environments do not provide risk management process support to the project manager’s activities. This support could be provided through the analysis of the interactions between projects. One of the main weaknesses of the approaches up to now is that risk management process improvement based on the risks between ongoing projects and completed ones is being neglected. In this light, we propose the creation of a Risk Management Model for Multiple Project Environments to treat the risk interactions between projects.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11767718_47</doi><tpages>4</tpages></addata></record>
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identifier	ISSN: 0302-9743
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issn	0302-9743 1611-3349
language	eng
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subjects	Applied sciences Computer science control theory systems Exact sciences and technology Information systems. Data bases Memory organisation. Data processing Multiple Project Project Risk Risk Management Software Software Development Project Software engineering Software Process Improvement
title	Multiple Risk Management Process Supported by Ontology
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