Bayesian Optimal Release Time Based on Inflection S-Shaped Software Reliability Growth Model

Hee Soo KIM  Dong Ho PARK  Shigeru YAMADA 

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences  Vol.E92-A  No.6  pp.1485-1493
Publication Date: 2009/06/01
Online ISSN: 1745-1337
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Reliability, Maintainability and Safety Analysis
Keyword: 
SRGM,  failure detection rate,  inflection rate,  prior and posterior distribution,  optimal software release time,  expected total software cost,  discrete beta distribution, 

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Summary: 
The inflection S-shaped software reliability growth model (SRGM) proposed by Ohba (1984) is one of the well- known SRGMs. This paper deals with the optimal software release problem with regard to the expected software cost under this model based on the Bayesian approach. To reflect the effect of the learning experience for the updated software system, we consider several improvement factors to adjust the values of parameters characterizing the inflection S-shaped SRGM. Appropriate prior distributions are assumed for such factors and the expected total software cost is formulated. The optimal release time is shown to be finite and uniquely determined. Because of the flexibility of prior distributions, the proposed Bayesian methods may be applied in many different situations. Numerical results are presented on the basis of the real data.