Software reliability prediction and assessment using both finite and infinite server queueing approaches

Wei Chih Huang, Chin Yu Huang, Chuan-Ching Sue

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

9 Citations (Scopus)

Abstract

Over the past 30 years, many software reliability growth models (SRGMs) have been proposed for estimation of reliability growth of software. In fact, effective debugging will not be easy because the fault may not be immediately obvious. In the past, some researchers ever used an infinite server queueing (ISQ) model to describe the software debugging behavior. An infinite-server queueing model is considered where access of customers to service is controlled by a gate and the gate is open only if all servers are free. However, the finite server queueing (FSQ) model is first advantageously modeled as an infinite-server system. Thus, in this paper, we will show how to incorporate both FSQ and ISQ models into software reliability estimation and prediction. In addition, here we also consider the factor of perfect/imperfect debugging. Experimental results show that the proposed framework to incorporate both fault detection and correction processes for SRGM has a fairly accurate prediction capability.

Original languageEnglish
Title of host publicationProceedings - 12th Pacific Rim International Symposium on Dependable Computing, PRDC 2006
Pages194-201
Number of pages8
DOIs
Publication statusPublished - 2006 Dec 1
Event12th Pacific Rim International Symposium on Dependable Computing, PRDC 2006 - Riverside, CA, United States
Duration: 2006 Dec 182006 Dec 20

Publication series

NameProceedings - 12th Pacific Rim International Symposium on Dependable Computing, PRDC 2006

Other

Other12th Pacific Rim International Symposium on Dependable Computing, PRDC 2006
CountryUnited States
CityRiverside, CA
Period06-12-1806-12-20

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software

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