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Model-based adaptation for self-healing systems
Abstract
Traditional mechanisms that allow a system to detect and recover from errors are typically wired into applications at the level of code where they are hard to change, reuse, or analyze. An alternative approach is to use externalized adaptation: one or more models of a system are maintained at run time and external to the application as a basis for identifying problems and resolving them. In this paper we provide an overview of recent research in which we use architectural models as the basis for such problem diagnosis and repair. These models can be specialized to the particular style of the system, the quality of interest, and the dimensions of run time adaptation that are permitted by the running system.
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Cited by
Self-adaptive software: Landscape and research challenges
Salehie, M., & Tahvildari, L. (2009) · ACM Transactions on Autonomous and Adaptive Systems · doi:10.1145/1516533.1516538 · Cited by 1,266
Metadata
- Authors
- Garlan, D., & Schmerl, B.
- Venue
- Proceedings of the first workshop on Self-healing systems
- Publisher
- ACM
- Published
- 2002-11-18
- Pages
- 27-32
- OpenAlex
- W2149679864
- Cited by
- 288
- References
- 0
- FWCI
- 11.96
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Model-based adaptation for self-healing systems. https://app.cochat.ai/papers/10.1145/582128.582134
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- Garlan, D., & Schmerl, B. (2002). Model-based adaptation for self-healing systems. Proceedings of the first workshop on Self-healing systems. https://doi.org/10.1145/582128.582134
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
