iLSE: An intelligent web-based system for log structuring and extraction

Conference item

Serasinghe, Sahan, Shen, Haifeng and Chen, David. (2017). iLSE: An intelligent web-based system for log structuring and extraction. In J. Lv, H. Zhang and M. Hinchey and X. Liu (Ed.). 24th Asia-Pacific Software Engineering Conference: APSEC 2017: 4-8 December 2017, Nanjing, Jiangsu, China. United States of America: IEEE Computer Society. pp. 588 - 593 https://doi.org/10.1109/APSEC.2017.70
AuthorsSerasinghe, Sahan, Shen, Haifeng and Chen, David
Abstract

Analysing software log files has become a challenging task due to the diversity in file structure and the nonstandardisation of log syntax. During the process of extracting log data, it is required to manually decode the log syntax and interpret data semantics, which can become tedious and is often error-prone if not performed carefully. Contemporary log analysis software tools do exist in the market and most of them offer numerous options to analyse log files, however, their sheer focus is on providing log management solutions instead of log analysis capabilities. In particular, none of them offers a generic parsing and extracting solution that can discover hidden data structures, a critical and effortful task in log analysis. We thereby devise such a solution that is able to automatically identify hidden patterns in a given log file and extract useful information by generalising the patterns. The solution is implemented as an intelligent Web-based system known as iLSE (intelligent Log Structuring and Extraction) whose users are not required to possess fluent programming skills. This paper presents a reference architecture for the system as well as a comparison study on how the system performs against contemporary log analysis systems.

Keywordssoftware log; structure; extraction; pattern; intelligent; Web-based; reference architecture
Year2017
PublisherIEEE Computer Society
Digital Object Identifier (DOI)https://doi.org/10.1109/APSEC.2017.70
Scopus EID2-s2.0-85045937975
Publisher's version
File Access Level
Controlled
Book title24th Asia-Pacific Software Engineering Conference: APSEC 2017
Page range588 - 593
ISBN9781538636817
Research GroupPeter Faber Business School
Place of publicationUnited States of America
EditorsJ. Lv, H. Zhang and M. Hinchey and X. Liu
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