A generalized martingale-based software reliability model considering multiple environmental factors

Mengmeng Zhu, Hoang Pham

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

Abstract

Large-scale software development is still considered as an increasing-complexity and effort-consuming expensive activity, albeit the widespread application of software system in the modern society. Given the survey studies of environmental factors defined in software development [3, 4], how can we incorporate the important environmental factors into software reliability modeling to improve the prediction power is an interesting yet challenging research topic. Hence, this paper develops the framework of a generalized software reliability modeling considering multiple environmental factors and the randomness caused by environmental factors. Moreover, the specific software reliability modeling with two specified environmental factors, Percentage of Reused Modules (PoRM) and Frequency of Program Specification Change (FoPSC), is discussed. A numerical example is discussed to compare the predictive power of the proposed model with a recent software reliability model with a single environmental factor based on some criteria.

Original languageEnglish (US)
Title of host publicationProceedings - 24th ISSAT International Conference on Reliability and Quality in Design
EditorsHoang Pham
PublisherInternational Society of Science and Applied Technologies
Pages36-40
Number of pages5
ISBN (Electronic)9780991057658
StatePublished - Jan 1 2018
Event24th ISSAT International Conference on Reliability and Quality in Design - Toronto, Canada
Duration: Aug 2 2018Aug 4 2018

Publication series

NameProceedings - 24th ISSAT International Conference on Reliability and Quality in Design

Other

Other24th ISSAT International Conference on Reliability and Quality in Design
CountryCanada
CityToronto
Period8/2/188/4/18

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality

Keywords

  • Brownian motion
  • Environmental factors
  • Martingale process
  • Nonhomogeneous Poisson process (NHPP)
  • Software reliability model

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