Change-point detection for black-box services
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
The disappearing boundary between development-time and run-time
Proceedings of the FSE/SDP workshop on Future of software engineering research
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
Evolution, adaptation, and the quest for incrementality
Proceedings of the 17th Monterey conference on Large-Scale Complex IT Systems: development, operation and management
Modeling personalized adaptive systems
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
A preliminary study on requirements modeling methods for self-adaptive software systems
Proceedings of the 5th Asia-Pacific Symposium on Internetware
A journey through SMScom: self-managing situational computing
Computer Science - Research and Development
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We focus on non-functional requirements for applications offered by service integrators; i.e., software that delivers service by composing services, independently developed, managed, and evolved by other service providers. In particular, we focus on requirements expressed in a probabilistic manner, such as reliability or performance. We illustrate a unified approach—a method and its support tools—which facilitates reasoning about requirements satisfaction as the system evolves dynamically. The approach relies on run-time monitoring and uses the data collected by the probes to detect if the behavior of the open environment in which the application is situated, such as usage profile or the external services currently bound to the application, deviates from the initially stated assumptions and whether this can lead to a failure of the application. This is achieved by keeping a model of the application alive at run time, automatically updating its parameters to reflect changes in the external world, and using the model’s predictive capabilities to anticipate future failures, thus enabling suitable recovery plans.