Presentation 2004/5/14
Testing-Effort Dependent Software Reliability Growth Modeling based on Stochastic Differential Equations
Shinji INOUE, Shigeru YAMADA,
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Abstract(in English) It is known that software reliability growth modeling is a fundamental technique to assess software reliability quantitatively. Most of the models treat a fault-detection phenomenon on a discrete-state space such as nonhomogeneous Poisson process models. In recent years, software reliability growth models on a continuous-state space have been proposed for the purpose of evaluating software reliability of large-scale software sytems and applying to statistical software quality management by using stochastic differential equations. In an actual software development, the amount of testing-effort expenditures is well-known as one of the most important factors being related to the software reliability growth process. In this paper, we develop a software reliability growth model on a continuous-state space by considering the amount of testing-effort expenditures in the testing phase of software development.
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Keyword(in English) Software Reliability Growth Model / Testing-effort / Black-Scholes Process / Stochastic Differential / Equations of Ito Type / Goodness-of-fit / Software Reliability Assessment Measures
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Conference Date 2004/5/14(1days)
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Title (in English) Testing-Effort Dependent Software Reliability Growth Modeling based on Stochastic Differential Equations
Sub Title (in English)
Keyword(1) Software Reliability Growth Model
Keyword(2) Testing-effort
Keyword(3) Black-Scholes Process
Keyword(4) Stochastic Differential
Keyword(5) Equations of Ito Type
Keyword(6) Goodness-of-fit
Keyword(7) Software Reliability Assessment Measures
1st Author's Name Shinji INOUE
1st Author's Affiliation Faculty of Engineering, Tottori University()
2nd Author's Name Shigeru YAMADA
2nd Author's Affiliation Faculty of Engineering, Tottori University
Date 2004/5/14
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Volume (vol) vol.104
Number (no) 72
Page pp.pp.-
#Pages 6
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