Please use this identifier to cite or link to this item: https://doi.org/10.1109/TR.2007.909760
Title: Modeling and analysis of software fault detection and correction process by considering time dependency
Authors: Wu, Y.P.
Hu, Q.P.
Xie, M. 
Ng, S.H. 
Keywords: Delay time modeling
Delays
Fault correction
Fault detection
Fault tolerance
Maximum likelihood estimation
Modeling
Non-homogeneous poisson process
Parameter estimation
Poisson equation
Software reliability
Issue Date: Dec-2007
Source: Wu, Y.P., Hu, Q.P., Xie, M., Ng, S.H. (2007-12). Modeling and analysis of software fault detection and correction process by considering time dependency. IEEE Transactions on Reliability 56 (4) : 629-642. ScholarBank@NUS Repository. https://doi.org/10.1109/TR.2007.909760
Abstract: Software reliability modeling & estimation plays a critical role in software development, particularly during the software testing stage. Although there are many research papers on this subject, few of them address the realistic time delays between fault detection and fault correction processes. This paper investigates an approach to incorporate the time dependencies between the fault detection, and fault correction processes, focusing on the parameter estimations of the combined model. Maximum likelihood estimates of combined models are derived from an explicit likelihood formula under various time delay assumptions. Various characteristics of the combined model, like the predictive capability, are also analyzed, and compared with the traditional least squares estimation method. Furthermore, we study a direct, useful application of the proposed model & estimation method to the classical optimal release time problem faced by software decision makers. The results illustrate the effect of time delay on the optimal release policy, and the overall software development cost. © 2007 IEEE.
Source Title: IEEE Transactions on Reliability
URI: http://scholarbank.nus.edu.sg/handle/10635/63185
ISSN: 00189529
DOI: 10.1109/TR.2007.909760
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