MEASUREMENT-BASED MODEL OF SOFTWARE RELIABILITY IN A PRODUCTION ENVIRONMENT.

M. C. Hsueh, Ravishankar K Iyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 languageEnglish (US)
Title of host publicationProceedings - IEEE Computer Society's International Computer Software & Applications Conference
PublisherIEEE
Pages354-360
Number of pages7
ISBN (Print)0818608064
StatePublished - 1987

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Hsueh, M. C., & Iyer, R. K. (1987). MEASUREMENT-BASED MODEL OF SOFTWARE RELIABILITY IN A PRODUCTION ENVIRONMENT. In Proceedings - IEEE Computer Society's International Computer Software & Applications Conference (pp. 354-360). IEEE.