Dynamic Two-phase Truncated Rayleigh Model for Release Date Prediction of Software

Lianfen Qian, Qingchuan Yao, Taghi M. Khoshgoftaar
DOI: 10.4236/jsea.2010.36070                

Abstract

Software reliability modeling and prediction are important issues during software development, especially when one has to reach a desired reliability prior to software release. Various techniques, both static and dynamic, are used for reliability modeling and prediction in the context of software risk management. The single-phase Rayleigh model is a dynamic reliability model; however, it is not suitable for software release date prediction. We propose a new multi-phase truncated Rayleigh model and obtain parameter estimation using the nonlinear least squares method. The proposed model has been successfully tested in a large software company for several software projects. It is shown that the two-phase truncated Rayleigh model outperforms the traditional single-phase Rayleigh model in modeling weekly software defect arrival data. The model is useful for project management in planning release times and defect management.

Keywords

Software Testing, Weekly Defect Arrival Data, Single-Phase Rayleigh Model, Two-Phase Truncated Rayleigh Model, Software Reliability

Conflicts of Interest

The authors declare no conflicts of interest.

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