iObserve: Integrated Observation and Modeling Techniques to Support Adaptation and Evolution of Software Systems

Hasselbring, Wilhelm (2012) iObserve: Integrated Observation and Modeling Techniques to Support Adaptation and Evolution of Software Systems [Talk] In: KoSSE-Symposium Application Performance Management (Kieker Days 2012), November 29/30, 2012, Kiel, Germany.

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Abstract

The new DFG Priority Program (SPP1593) on “Design For Future – Managed Software Evolution” has been established to develop fundamentally new approaches in software engineering with a determined focus on long-living software systems.

The increased adoption of service-oriented technologies and cloud computing creates new challenges for the adaptation and evolution of long-living software systems. Software services and cloud platforms are owned and maintained by independent parties. Software engineers and system operators of long-living software systems only have limited visibility and control over those third-party elements. Traditional monitoring provides software engineers and system operators with execution observation data which are used as basis to detect anomalies. If the services and the cloud platform are not owned and controlled by the engineers of the software systems, monitoring the execution of the software system is not straightforward.

As part of the DFG Priority Program, the project iObserve will develop and validate new advanced techniques which empower the system engineers to observe and detect anomalies of the execution of software systems they do not fully own and control. It will extend and integrate previous work on adaptive monitoring, online testing and benchmarking and will use models@runtime as means to adjust the observation and anomaly detection techniques during system operation.

Document Type: Conference or Workshop Item (Talk)
Research affiliation: Kiel University > Software Engineering
Kiel University > Kiel Marine Science
Date Deposited: 03 Dec 2012 07:44
Last Modified: 23 May 2013 06:22
URI: http://eprints.uni-kiel.de/id/eprint/19435

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