Abstract
Computer-based artificial systems have been widely applied in nearly every field of human activities. Whenever people rely heavily on some product/technique, they want to make sure that it is reliable. However, computer systems are not as reliable as expected, and software has always been a major cause of the problems. With the increasing reliability of hardware and growing complexity of software, the software reliability is a rising concern for both developer and users. Software reliability engineering (SRE) has attracted a lot of interests and research in the software community and software reliability modeling is one major part of SRE research.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Hu, Q.P., Xie, M., Ng, S.H. (2007). Software Reliability Predictions using Artificial Neural Networks. In: Levitin, G. (eds) Computational Intelligence in Reliability Engineering. Studies in Computational Intelligence, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37372-8_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-37372-8_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37371-1
Online ISBN: 978-3-540-37372-8
eBook Packages: EngineeringEngineering (R0)