Presentation 2011-10-21
On Software Reliability Assessment with Multiple Change-Point Occurrence
Shinji INOUE, Shigeru YAMADA,
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Abstract(in English) Software reliability growth models can be developed under the basic assumption that the stochastic or statistical characteristics of the software failure-occurrence or fault-detection phenomenon are the same throughout the testing phase in an existing software reliability growth modeling framework. However, for ensuring accuracy of software reliability measurement assessment, we need to calibrate the stochastic or statistical characteristics along with changes of some factors being related to the software failure-occurrence or fault-detection phenomenon. Especially, the testing time when such a change occurs is called change-point. And many software reliability growth models with the effect of the change on the software reliability growth process were proposed so far. We propose a new software reliability growth modeling framework with the effect of multiple occurrence of the change by considering with the relationships between the stochastic quantities for the software failure-occurrence phenomenon before change-point and those after change-point.
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Keyword(in English) Software reliability / Software reliability growth model / Nonhomogeneous Poisson process / Change-point / Testing-environmental functions
Paper # R2011-30
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Committee R
Conference Date 2011/10/14(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) On Software Reliability Assessment with Multiple Change-Point Occurrence
Sub Title (in English)
Keyword(1) Software reliability
Keyword(2) Software reliability growth model
Keyword(3) Nonhomogeneous Poisson process
Keyword(4) Change-point
Keyword(5) Testing-environmental functions
1st Author's Name Shinji INOUE
1st Author's Affiliation Graduate School of Engineering, Tottori University()
2nd Author's Name Shigeru YAMADA
2nd Author's Affiliation Graduate School of Engineering, Tottori University
Date 2011-10-21
Paper # R2011-30
Volume (vol) vol.111
Number (no) 253
Page pp.pp.-
#Pages 6
Date of Issue