Improving FFDA of Web Servers Through a Rule-Based Logging Approach
Log production is known to be a developer dependent, error-prone process. This results in heterogeneous and inaccurate logs, which can mislead Field Failure Data Analysis (FFDA). Research papers face logs issues by proposing manipulation techniques to be applied to the field data source as it is. This source can however miss important log entries, decreasing the level of trust on FFDA results. This paper describes how to improve the field data production by means of a rule-based logging approach preventing inaccurate logs.