Research on a Novel Automation Software Reliability Detection Method

Article Preview

Abstract:

The reliability detection method for the traditional large-scale automation software is based on the module design principle of the automation software which detects the reliability features one by one. It does not consider the concurrent reliable chain problems for the automation software which cause the low detection accuracy. The paper proposes a novel automation software system reliability detection method based on the path-based interfaces. The detection model integrates the features of the automation software. The established stochastic points process and state probability transition diagram overcome the shortcomings of the traditional large-scale automation software reliability detection methods. The experiment results illustrate the improved methods can increase the detection accuracy of the large-scale automation software which can be widely applied.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2928-2931

Citation:

Online since:

May 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Jiang Heng, chang. Based on the multiple signal classification of SAR moving target detection research [J]. Computer simulation, 2011. 9: 264-267.

Google Scholar

[2] Haunters denier CDH. Weak signal detection method based on image recognition chaos study [J]. Computer measurement and control, 2010. 2: 320-322.

Google Scholar

[3] Benatal lah Boualem,Ouan Z,Sheng Marion Dums.The Self-Serv Environment for Web Services Composition[J].IEEE Internet Computing,Jan 2003,7(1):40-48.

Google Scholar

[4] Zoran Stojanovic and Ajantha Dahanayake.Service-Oriented Software System Engineering:Challenges and Practices [J]. Idea Group Publishing. 2005:l-47.

Google Scholar

[5] Gray, A. Bundell, Gareth Lee, John Morris, Parker, A Software Component Verification79 Tool[C], In the Proceedings of International Conference on Software Methods and Tools, Wollongong, Australia, 2000: 265-267.

DOI: 10.1109/swmt.2000.890429

Google Scholar