Conceptual Software Reliability Model using Neural Network
Meenu Meenu,Sumeet Sumeet +1 more
About: This article is published in International Journal of Computer Applications. The article was published on 16 Jan 2015. and is currently open access. The article focuses on the topics: Artificial neural network.
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References
•Book
Handbook of software reliability engineering
Michael R. Lyu
- 30 Apr 1996
TL;DR: Technical foundations introduction software reliability and system reliability the operational profile software reliability modelling survey model evaluation and recalibration techniques practices and experiences and best current practice of SRE software reliability measurement experience.
Using neural networks in reliability prediction
TL;DR: Results with actual testing and debugging data suggest that neural-network models are better at endpoint predictions than analytic models, and can be more accurate than some commonly used analytic models.
292
Prediction of software reliability using connectionist models
TL;DR: The analysis shows that the connectionist approach is capable of developing models of varying complexity and may adapt well across different data sets and exhibit better predictive accuracy.
238
Prediction of software reliability using neural networks
N. Karunanithi,Yashwant K. Malaiya,Darrell Whitley +2 more
- 17 May 1991
TL;DR: The authors explore the use of feed-forward neural networks as a model for software reliability growth prediction and find that the neural networks approach exhibits a consistent behavior in prediction and the predictive performance is comparable to that of parametric models.
92
•Journal Article
Software Reliability Growth modeling with Generalized Exponential testing–effort and optimal SOFTWARE RELEASE policy
TL;DR: The evaluation results are analyzed and compared with other existing models to show that the proposed SRGM with (GED) testing-effort has a fairly and better faults prediction capability and it depicts the real-life situation more fairly.