scholarly journals A study of the exponential smoothing technique in software reliability growth prediction

1997 ◽  
Vol 13 (6) ◽  
pp. 347-353 ◽  
Author(s):  
M. Xie ◽  
G. Y. Hong ◽  
C. Wohlin
Keyword(s):  
Software Reliability ◽  
Exponential Smoothing ◽  
Reliability Growth ◽  
Smoothing Technique ◽  
Growth Prediction ◽  
Software Reliability Growth ◽  
Exponential Smoothing Technique

DEBUGGING PROCESS-ORIENTED DISCRETE SOFTWARE RELIABILITY MODELING

2009 ◽  
Vol 16 (04) ◽  
pp. 357-370 ◽  
Author(s):  
SHINJI INOUE ◽  
NAOKI IWAMOTO ◽  
SHIGERU YAMADA
Keyword(s):  
Discrete Time ◽  
Software Reliability ◽  
Goodness Of Fit ◽  
Growth Models ◽  
Reliability Growth ◽  
Reliability Modeling ◽  
New Approach ◽  
Time Modeling ◽  
Software Reliability Growth ◽  
Discrete Time Modeling

This paper discusses an new approach for discrete-time software reliability growth modeling based on an discrete-time infinite server queueing model, which describes a debugging process in a testing phase. Our approach enables us to develop discrete-time software reliability growth models (SRGMs) which could not be developed under conventional discrete-time modeling approaches. This paper also discuss goodness-of-fit comparisons of our discrete-time SRGMs with conventional continuous-time SRGMs in terms of the criterion of the mean squared errors, and show numerical examples for software reliability analysis of our models by using actual data.

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