Defining Autonomic Computing: A software engineering perspective

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Show simple item record Lin, Paul en_US Macarthur, Alexander en_US Leaney, John en_US
dc.contributor.editor N/A en_US 2009-11-09T05:36:03Z 2009-11-09T05:36:03Z 2005 en_US
dc.identifier 2005000985 en_US
dc.identifier.citation Lin Paul, Macarthur Alexander, and Leaney John 2005, 'Defining Autonomic Computing: A software engineering perspective', IEEE, Piscataway, USA, pp. 88-97. en_US
dc.identifier.issn 0-7695-2257-2 en_US
dc.identifier.other E1 en_US
dc.description.abstract As a rapidly growing field, Autonomic Computing is a promising new approach for developing large scale distributed systems. However, while the vision of achieving self-management in computing systems is well established, the field still lacks a commonly accepted definition of what an Autonomic Computing system is. Without a common definition to dictate the direction of development, it is not possible to know whether a system or technology is a part of Autonomic Computing, or if in fact an Autonomic Computing system has already been built. The purpose of this paper is to establish a standardised and quantitative definition of Autonomic Computing through the application of the Quality Metrics Framework described in IEEE Std 1061-1998 [1]. Through the application of this methodology, stakeholders were systematically analysed and evaluated to obtain a balanced and structured definition of Autonomic Computing. This definition allows for further development and implementation of quality metrics, which are project-specific, quantitative measurements that can be used to validate the success of future Autonomic Computing projects. en_US
dc.publisher IEEE en_US
dc.relation.isbasedon en_US
dc.title Defining Autonomic Computing: A software engineering perspective en_US
dc.parent Proceedings of 2005 Australian Software Engineering Conference en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Piscataway, USA en_US
dc.identifier.startpage 88 en_US
dc.identifier.endpage 97 en_US FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference.location Brisbane, Australia en_US
dc.for 080300 en_US
dc.personcode 0000024899 en_US
dc.personcode 0000024900 en_US
dc.personcode 730376 en_US
dc.percentage 100 en_US Computer Software en_US
dc.classification.type FOR-08 en_US
dc.custom Australian Software Engineering Conference en_US 20050329 en_US
dc.location.activity Brisbane, Australia en_US
dc.description.keywords IEEE standards; software metrics; software quality en_US
dc.staffid 730376 en_US

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