A toolset for automated failure analysis
Additional information
Authors
Mariani L.,
Pastore F.,
Pezzè M.
Type
Article in conference proceedings
Year
2009
Language
English
Abstract
Classic fault localization techniques can automatically provide information about the suspicious code blocks that are likely responsible for observed failures. This information is useful, but not sufficient to completely understand the causes of failing executions, which still require further (time-consuming) investigations to be exactly identified. A useful and comprehensive source of information is frequently given by the set of unexpected events that have been observed during failures. Sequences of unexpected events are usually simple to be interpret, and testers can guess the expected correct sequences of events from the faulty sequences. In this paper, we present a tool that automatically identifies anomalous events that likely caused failures, filters the possible false positives, and presents the resulting data by building views that show chains of cause-effect relations, i.e., views that show when anomalous events are caused by other anomalous events. The use of the technique to investigate a fault in the Tomcat application server is also presented in the paper.
Conference proceedings
Software Engineering, 2009. ICSE 2009. IEEE 31st International Conference on
Start page number
563
End page number
566
ISBN
978-1-4244-3453-4
Keywords
automated failure analysis, Event detection, Failure analysis, Fault diagnosis, fault localization technique, fault tolerant computing, Filters, Information resources, Law, Legal factors, Phase detection, Testing, Tomcat application server, Web server
