Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Alarm Correlation Research and Implementation Based on Similar Data Sources

Authors
Yi Tang, Dahai Jin
Corresponding Author
Yi Tang
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.211How to use a DOI?
Keywords
Alarm correlation; software test system; similar data sources.
Abstract
In the modern society, static defect detection technology become an effective way to build reliable software. But the phenomena of misinformation and failing to report in the result of static defect detection makes testers needed to confirm the false alarms one by one manually. It is necessary to improve efficiency of alarm confirmation. In this paper, an alarm correlation method for similar data sources is proposed. The method uses data sources of the alarm to generate symbol information - the define point information. With the symbolic information, we can generate a feature function which is consist of all alarm variable's DEF point symbols. According to feature function, we can generate an equivalent signature code. Finally, by comparing the similarity of the signatures to determine whether there is an association between the two alarm. Testers only need to pick up one or a few alarms in a class for confirmation after apply this technology which greatly improve the system's efficiency.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Machinery, Materials and Information Technology Applications
Part of series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.211How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yi Tang
AU  - Dahai Jin
PY  - 2017/01
DA  - 2017/01
TI  - Alarm Correlation Research and Implementation Based on Similar Data Sources
BT  - 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.211
DO  - https://doi.org/10.2991/icmmita-16.2016.211
ID  - Tang2017/01
ER  -