The authors build a semi-Markov model to describe the software error and recovery process in a large mainframe system. The model is based on low-level error data from the MVS operating system running on an IBM 3081 machine. The semi-Markov model developed provides a quantification of system error characteristics and the interaction between different types of errors. As an example, the authors provide a detailed model and analysis of multiple errors, which constitute approximately 17% of all software errors and result in considerable recovery overhead.
|Original language||English (US)|
|Title of host publication||Proceedings - IEEE Computer Society's International Computer Software & Applications Conference|
|Number of pages||7|
|State||Published - 1987|
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