Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICMIT.2006.262333
Title: A study of software fault detection and correction process models
Authors: Wu, Y.P.
Hu, Q.P.
Ng, S.H. 
Issue Date: 2006
Citation: Wu, Y.P.,Hu, Q.P.,Ng, S.H. (2006). A study of software fault detection and correction process models. ICMIT 2006 Proceedings - 2006 IEEE International Conference on Management of Innovation and Technology 2 : 812-816. ScholarBank@NUS Repository. https://doi.org/10.1109/ICMIT.2006.262333
Abstract: Most of the models for software reliability analysis are based on reliability growth models which deal with the fault detection process only. In this paper, some useful approaches to the modeling of both software fault detection and fault correction processes are discussed. To provide accurate predictions for correct decision-makings, parameters estimation method is critical. Specifically, a new explicit formula for the likelihood function of the combined fault detection and correction process is derived and the maximum likelihood estimates are obtained under various time delay assumptions. As an illustration, actual dataset from a software development project is analyzed. In addition, cost models are discussed in the context of this modeling framework on fault detection and correction. The corresponding effects on optimal release time are analyzed comprehensively. Also, potential benefits of this model on other aspects of software testing management are discussed. © 2006 IEEE.
Source Title: ICMIT 2006 Proceedings - 2006 IEEE International Conference on Management of Innovation and Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/72261
ISBN: 1424401488
DOI: 10.1109/ICMIT.2006.262333
Appears in Collections:Staff Publications

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