Software Reliability Prediction and Assessment Using both Finite and Infinite Server Queueing Approaches

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 is not easy because the fault may not be immediately obvious. In the past, some researchers ever used an infinite server queueing...

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Bibliographic Details
Published in2006 12th Pacific Rim International Symposium on Dependable Computing (PRDC'06) pp. 194 - 201
Main Authors Wei-Chih Huang, Chin-Yu Huang, Chuan-Ching Sue
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2006
Subjects
Computer science
Failure analysis
Fault detection
Predictive models
Programming
Reliability engineering
Software debugging
Software reliability
Software systems
Software testing
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Summary: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 is not easy because the fault may not be immediately obvious. In the past, some researchers ever used an infinite server queueing (ISO) 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 show how to incorporate both FSQ and ISQ models into software reliability estimation and prediction. In addition, 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
ISBN:0769527248
9780769527246
DOI:10.1109/PRDC.2006.57