A Unified Parameter Estimation Algorithm for Discrete Software Reliability Models

OPSEARCH ◽  
2005 ◽  
Vol 42 (4) ◽  
pp. 355-377 ◽  
Author(s):  
Hiroyuki Okamura ◽  
Atsushi Murayama ◽  
Tadashi Dohi
2011 ◽  
Vol 15 ◽  
pp. 3477-3481 ◽  
Author(s):  
Changyou Zheng ◽  
Xiaoming Liu ◽  
Song Huang ◽  
Yi Yao

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 985
Author(s):  
Hiroyuki Okamura ◽  
Tadashi Dohi

Software reliability models (SRMs) are widely used for quantitative evaluation of software reliability by estimating model parameters from failure data observed in the testing phase. In particular, non-homogeneous Poisson process (NHPP)-based SRMs are the most popular because of their mathematical tractability. In this paper, we focus on the parameter estimation algorithm for NHPP-based SRMs and discuss the EM algorithm for generalized fault count data. The presented algorithm can be applied for failure time data, failure count data, and their mixture. The paper derives the EM-step formulas for basic 12 NHPP-based SRMs and demonstrate a numerical experiment to present the convergence property of our algorithms. The developed algorithms are suitable for an automatic tool for software reliability evaluation.


2010 ◽  
Vol 24 (4) ◽  
pp. 353-358 ◽  
Author(s):  
Hui Xiong ◽  
Yuan Lv ◽  
Deguo Zeng ◽  
Bin Tang

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