A study on the NHPP software reliability model with the weibull fault detection rate in the operating environments using the exponential distribution

Kwang Yoon Song, In Hong Chang, Hoang Pham

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

Abstract

- The software systems used in the field environments are the same as or close to those used in the development-testing environment; base on this, existing software reliability models are applied to software testing data and then used to make predictions on the software failures and reliability in the field. However, the systems may be used in many different locations. In this paper, we present a new model with consideration for the fault detection rate of the Weibull function in operating environments using the Exponential distribution, and examine the goodness-of-fit of the proposed new model and other models based on two datasets. The results show that the proposed new model fits significantly better than other models.

Original languageEnglish (US)
Title of host publicationProceedings - 25th ISSAT International Conference on Reliability and Quality in Design
EditorsHoang Pham
PublisherInternational Society of Science and Applied Technologies
Pages157-161
Number of pages5
ISBN (Electronic)9780991057672
StatePublished - Jan 1 2019
Event25th ISSAT International Conference on Reliability and Quality in Design, RQD 2019 - Las Vegas, United States
Duration: Aug 1 2019Aug 3 2019

Publication series

NameProceedings - 25th ISSAT International Conference on Reliability and Quality in Design

Conference

Conference25th ISSAT International Conference on Reliability and Quality in Design, RQD 2019
Country/TerritoryUnited States
CityLas Vegas
Period8/1/198/3/19

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality

Keywords

  • Differential equation
  • Exponential distribution
  • Fault detection rate
  • Non-homogeneous Poisson process
  • Software failure
  • Software reliability model

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