Contextual problem detection and management during software execution in complex environments

Abstract

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.

Citation

Sun Kim, J., Park, S. and Sugumaran, V. (2006), "Contextual problem detection and management during software execution in complex environments", Industrial Management & Data Systems, Vol. 106 No. 4, pp. 540-561. https://doi.org/10.1108/02635570610661615