1979IEEE Transactions on ReliabilityRequires access

Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures

Amrit L. Goel, Kazu Okumoto

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Abstract

This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP). The failure process is analyzed to develop a suitable meanvalue function for the NHPP; expressions are given for several performance measures. Actual software failure data are analyzed and compared with a previous analysis.

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What this paper is about

This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP). The failure process is analyzed to develop a suitable meanvalue function for the NHPP; expressions are given for several performance measures. Actual software failure data are analyzed and compared with a previous analysis.

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Available abstract

This paper presents a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process (NHPP). The failure process is analyzed to develop a suitable meanvalue function for the NHPP; expressions are given for several performance measures. Actual software failure data are analyzed and compared with a previous analysis.

Key concepts: Software quality, Poisson process, Reliability engineering, Computer science, Failure rate, Reliability (semiconductor), Software, Reliability theory

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