Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEEM.2008.4738137
Title: Simulation-based FDP & FCP analysis with queueing models
Authors: Hu, Q.P.
Peng, R.
Ng, S.H. 
Wang, H.Q.
Keywords: Discrete event simulation
Non-homogeneous poisson processes
Queueing systems
Software reliability
Issue Date: 2008
Citation: Hu, Q.P., Peng, R., Ng, S.H., Wang, H.Q. (2008). Simulation-based FDP & FCP analysis with queueing models. 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 : 1577-1581. ScholarBank@NUS Repository. https://doi.org/10.1109/IEEM.2008.4738137
Abstract: Continuous efforts have been devoted to software reliability modeling evolution over the past decades in order to adapt to the practical complex software testing environments. Many models have been proposed to describe the software fault related process. These software reliability growth models (SRGMs) have evolved from describing one fault detection process (FDP) into incorporating fault correction process (FCP) as well, in order to provide higher accuracy with more information. To provide mathematical tractability, models need to have closed form, with restrictive assumptions in a narrow sense. This in turn confines their capability for general applications. Alternatively, in this paper a general simulation based queueing modeling framework is proposed to describe FDP and FCP, with resource factors from practical software testing incorporated. Good simulation performance is observed with a numerical example. Furthermore, release time and debugger staffing issues are investigated with a revised cost model. The analysis is conducted through a simulation optimization approach. © 2008 IEEE.
Source Title: 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
URI: http://scholarbank.nus.edu.sg/handle/10635/72404
ISBN: 9781424426300
DOI: 10.1109/IEEM.2008.4738137
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