PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Bertolino A., Calabṛ A., Lonetti F., Di Marco A., Sabetta A. Towards a model-driven infrastructure for runtime monitoring. In: SERENE'11 - 3rd International Workshop on Software Engineering for Resilient Systems (Geneva, Switzerland, 29-30 September 2011). Proceedings, pp. 130 - 144. Springer-Verlag Berlin Heidelberg 2011, 2011.
 
 
Abstract
(English)
In modern pervasive dynamic and eternal systems, software must be able to self-organize its structure and self-adapt its behavior to enhance its resilience and provide the desired quality of service. In this high-dynamic and unpredictable scenario, flexible and reconfigurable monitoring infrastructures become key instruments to verify at runtime functional and non-functional properties. In this paper, we propose a property-driven approach to runtime monitoring that is based on a comprehensive Property Meta-Model (PMM) and on a generic configurable monitoring infrastructure. PMM supports the definition of quantitative and qualitative properties in a machine-processable way making it possible to configure the monitors dynamically. Examples of implementation and applications of the proposed model-driven monitoring infrastructure are excerpted from the ongoing Connect European Project.
URL: http://dl.acm.org/citation.cfm?id=2045557
Subject Monitoring
Model-driven engineering
Property meta-model
D.2.5 Testing and Debugging:Monitors
D.2.8 Metrics
D.2 SOFTWARE ENGINEERING


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