Generic log file data extraction

Abstract

Automated software log file analysis holds an important position in software maintenance. Currently available analysis tools are not generic. They tend to focus on specific software or servers and their flexibilities are minimal. Furthermore, costs of commercially available log analysis tools are not affordable for small and medium scale firms. This has left a void in the market for generic, customizable and open source log file analysis tools. The impediment to such a tool emerging is the unavailability of a generic log fie data extraction mechanism. A generic log fie format definition language and an underlying persistent data storage system is a solution to this problem. Log file structures could be defined by the aforementioned language and the data extracted would be stored in the persistent storage. This methodology enables generic log file analysis on top of the extracted data. Through the research and implementations carried out, it was identified that a modified version of simple declarative language is suitable for the log file format definition language. It would have the capability of handling and defining all patterns oj text based log files. Additionally, the results revealed that the appropriate storage mechanism would be an Extensible Markup Language (XML) database mainly because of the similarities between the hierarchical nature of XML and common log file structures.