Using Artificial Neural-Networks in Stochastic Differential Equations Based Software Reliability Growth Modeling

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ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

"Using Artificial Neural-Networks in Stochastic Differential Equations Based Software Reliability Growth Modeling"
written by Sunil Kumar Khatri, Prakriti Trivedi, Shiv Kant, Nisha Dembla,
published by Journal of Software Engineering and Applications, Vol.4 No.10, 2011

has been cited by the following article(s):

[1]	Software Technology Management Under Stochastic Environment
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[2]	Software belief reliability growth model based on uncertain differential equation
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[3]	Reliability Growth Prediction Method Based on GA-Elman Neural Network
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[4]	Software reliability modelling using neural network with compounded decreased error rate
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[6]	Simple statistical methods for software engineering: Data and patterns
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[7]	Comparison of SRGMs and NNEs on Multiple Data Sets
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[8]	Comparison of SRGMs and NNEs on Multiple Data Sets.
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[1]	Advances in Risk-Informed Technologies Risk, Reliability and Safety Engineering, 2024 DOI:10.1007/978-981-99-9122-8_9

[2]	Software Belief Reliability Growth Model Based on Uncertain Differential Equation IEEE Transactions on Reliability, 2022 DOI:10.1109/TR.2022.3154770

[3]	Software Belief Reliability Growth Model Based on Uncertain Differential Equation IEEE Transactions on Reliability, 2022 DOI:10.1109/TR.2022.3154770

[4]	Reliability Growth Prediction Method Based on GA-Elman Neural Network 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS), 2018 DOI:10.1109/ICRMS.2018.00034

[5]	Simple Statistical Methods for Software Engineering 2015 DOI:10.1201/b15778-16

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