Contextual problem detection and management during software execution in complex environments

Purpose - From the point of view of computing environments, the paper aims to present a goal-based contextual problem detection and management (GCPDM) method whose core benefit in its extendability of detection capability to deal with unpredicted problems.Design methodology approach - Approaches the...

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Bibliographic Details
Published inIndustrial management + data systems Vol. 106; no. 4; pp. 540 - 561
Main Authors Sun Kim, Jae, Park, Sooyong, Sugumaran, Vijayan
Format Journal Article
LanguageEnglish
Published Wembley Emerald Group Publishing Limited 01.01.2006
Subjects
Adaptation
Problem solving
Software
Software tools
Studies
Problem solving
Software tools
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ISSN0263-5577
1758-5783
0263-5577
DOI10.1108/02635570610661615

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Summary:Purpose - From the point of view of computing environments, the paper aims to present a goal-based contextual problem detection and management (GCPDM) method whose core benefit in its extendability of detection capability to deal with unpredicted problems.Design methodology approach - Approaches the subject by designing a goal graph, designing actions, designing achievable relations between actions and goals, defining contextual factors of each action, defining CCGs and implementing the GCPD engine.Findings - That self-managed, as opposed to traditional, software is designed to avoid runtime failures by adapting to unpredictable situations.Originality value - This paper presents a GCPDM method.
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ISSN:0263-5577
1758-5783
0263-5577
DOI:10.1108/02635570610661615