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• W1483173419 abstract "Several recent studies have established that most system outages are due to software faults. Given the ever increasing complexity of software and the well-developed techniques and analysis for hardware reliability, this trend is not likely to change in the near future. In this paper, we first classify software faults and discuss various techniques to deal with them in the testing/debugging phase and the operational phase of the software. We discuss the phenomenon of software aging and a preventive maintenance technique to deal with this problem called software rejuvenation. Stochastic models to evaluate the effectiveness of preventive maintenance in operational software systems and to determine optimal times to perform rejuvenation for different scenarios are described. We also present measurement-based methodologies to detect software aging and estimate its effect on various system resources. These models are intended to help develop software rejuvenation policies. An automated online measurement-based approach has been used in the software rejuvenation agent implemented in a major commercial server." @default.
• W1483173419 created "2016-06-24" @default.
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• W1483173419 date "2006-01-14" @default.
• W1483173419 modified "2023-10-16" @default.
• W1483173419 title "Software Rejuvenation - Modeling and Analysis" @default.
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• W1483173419 doi "https://doi.org/10.1007/1-4020-8159-6_6" @default.
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