A novel mind map based approach for log data extraction

Software log file analysis helps immensely in software testing and troubleshooting. The first step in automated log file analysis is extracting log data. This requires decoding the log file syntax and interpreting data semantics. The expected output of this phase is an organization of the extracted...

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Bibliographic Details
Published in2011 6th International Conference on Industrial and Information Systems pp. 130 - 135
Main Author Jayathilake, P. W. D. C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2011
Subjects
Data mining
Grammar
Information systems
log analysis
log data extraction
log file modeling
mind map
Monitoring
Semantics
Software
XML
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Summary:Software log file analysis helps immensely in software testing and troubleshooting. The first step in automated log file analysis is extracting log data. This requires decoding the log file syntax and interpreting data semantics. The expected output of this phase is an organization of the extracted data for further processing. Log data extractors can be developed using popular programming languages targeting one or few log file formats. Rather than repeating this process for each log file format, it is desirable to have a generic scheme for interpreting elements of a log file and filling a data structure suitable for further processing. The new log data extraction scheme introduced in this paper is an attempt to provide the advanced features demanded by modern log file analysis procedures. It is a generic scheme which is capable of handling both text and binary log files with complex structures and difficult syntax. Its output is a tree filled with the information of interest for the particular case.
ISBN:1457700328
9781457700323
ISSN:2164-7011
2690-3423
DOI:10.1109/ICIINFS.2011.6038054