Mined-knowledge driven software quality monitoring and diagnosis environment

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This research aims at devising a decision support environment for software developers and maintainers in an organization, in order to enable them to monitor the structural and behavioral aspects of the system and to provide recommendations, alerts, and warnings with regard to maintaining specific software qualities. The proposed environment takes advantage of modern technologies to specify and synthesize customizable decision-flow diagrams as guideline models that encode the best practices developed in the organization or established in the software maintenance literature. The guideline model is then executed to interactively direct the flow of decision from the root node of the decision-flow diagram to a leaf node, where a decision is made and the user is notified.