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In this paper, we introduce transduction inference theory performed by Vapnik [6] into software reliability prediction for the successful experience of ANNs, ...
Experimental results show that software failure time prediction models based on transduction inference theory could achieve higher prediction accuracy.
Experimental results show that software failure time prediction models based on transduction inference theory could achieve higher prediction accuracy. Cited By.
Oct 22, 2024 · Experimental results show that software failure time prediction models based on transduction inference theory could achieve higher prediction ...
Oct 22, 2024 · Reliability growth models are commonly categorized into two primary groups: parametric and non-parametric models.
Missing: Transduction | Show results with:Transduction
An RVM-based model for software reliability prediction, the RVM learning scheme is applied to the failure time data, forcing the network to learn and ...
In this work, we adopted a deep learning approach and ensemble method for software reliability testing to enhance the reliability of critical computer vision ...
Missing: Transduction | Show results with:Transduction
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What is prediction of software reliability?
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A more comprehensive survey containing 38 studies and 18 different swarm intelligence algorithms in the domain is presented.
Missing: Transduction | Show results with:Transduction
Software reliability modeling based on test data is done to estimate whether the current reliability level meets the requirements for the product. Software ...
A Study on Software Reliability Prediction Based on Transduction Inference. ATS '10: Proceedings of the 2010 19th IEEE Asian Test Symposium. Non-parametric ...