Contextual problem detection and management during software execution in complex environments
Jae Sun Kim, Sooyong Park, Vijayan Sugumaran · Industrial Management & Data Systems · 2006
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.