Structure for Information System Error Correction

Article Preview

Abstract:

In recent years large corporations as well as smaller commercial enterprises have begun to devote increased attention to system error correction and system quality. This paper introduces a novel toolthe Structure for Information System Error Correction (SISEC), implemented by the author and applicable for auto-generation of data. The paper discusses system requirements, design, architecture and modes of operation. It also contains a detailed comparison of the SISEC structure with existing confirming environments, focusing in particular on the SACK/SACX structure. The final section is devoted to experimental research into the availability of the presented tools in various projects and configurations, as reflected by quality examination.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 753-755)

Pages:

3029-3032

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] I. Sommerville and P. Sawyer, Key Factors Integration: A Good Practice Guide, John Wiley & Sons, Chichester, (1997).

Google Scholar

[2] R. R. Young, Effective Requirements Practices, Addison-Wesley Longman Publishing Co., Inc., Boston, (2001).

Google Scholar

[3] H. F. Hofmann and F. Lehner, Key Factors Integration as a Success Factor in System Projects, System, IEEE, Vol. 18, No. 4, 2001, pp.58-66. doi: 10. 1109/MS. 2001. 936219.

Google Scholar

[4] Ruo hu, Channel Access Controlling in Wireless Sensor Network using Smart Grid System, Applied Mathematics & Information Sciences, No. 6-3S , PP: 813-820(2012-11).

Google Scholar

[5] Ruo hu, Stability Analysis of Wireless Sensor Network Service via Data Stream Methods, Applied Mathematics & Information Sciences, No. 6-3S , PP: 793-798(2012-11).

Google Scholar

[6] Hu Ruo, New Network Access Control Method Using Intelligence Agent Technology, Applied Mathematics & Information Sciences, (2013-2). PP: 44-48(2013-2).

DOI: 10.12785/amis/071l07

Google Scholar

[7] H. Wohlwend and S. Rosenbaum, System Improvements in an International Company, Proceedings of the 15th International Conference on System Engineering (ICSE 93), Baltimore, Maryland, 17-21 May 1993, pp.212-220.

Google Scholar

[8] S. Lauesen and O. Vinter, Preventing Requirement Defects: An Experiment in Process Improvement, Key Factors Integration, Vol. 6, No. 1, 2001, pp.37-50. doi: 10. 1007/PL00010355.

DOI: 10.1007/pl00010355

Google Scholar

[9] J. D. Herbsleb and D. R. Goldenson, A Systematic Survey of CEIM Experience and Results, Proceedings of the 18th International Conference on System Engineering—ICSE, Berlin, 25-29 March 1996, pp.323-330.

Google Scholar

[10] J. G. Brodman and D. L. Johnson, Return on Investment (ROI) from System reconstruction as Measured by US Industry, System Process: Improvement and Practice, Vol. 1, No. 1, 1995, pp.35-47.

Google Scholar