AFID: an automated fault identification tool

Authors:
Alex Edwards;Sean Tucker;Sébastien Worms;Rahul Vaidya;Brian Demsky
Affiliations:
University of California, Irvine, Irvine, CA, USA;University of California, Irvine, Irvine, CA, USA;École Nationale Supérieure de Techniques Avancées, Paris, France;University of California, Los Angeles, Los Angeles, CA, USA;University of California, Irvine, Irvine, CA, USA
Venue:
ISSTA '08 Proceedings of the 2008 international symposium on Software testing and analysis
Year:
2008

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AFID: an automated approach to collecting software faults

Automated Software Engineering

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Abstract

We present the Automatic Fault IDentification Tool (AFID). AFID automatically constructs repositories of real software faults by monitoring the software development process. AFID records both a fault revealing test case and a faulty version of the source code for any crashing faults that the developer discovers and a fault correcting source code change for any crashing faults that the developer corrects. The test cases are a significant contribution, because they enable new research that explores the dynamic behaviors of the software faults. AFID uses a ptrace-based monitoring mechanism to monitor both the compilation and execution of the application. The ptrace-based technique makes it straightforward for AFID to support a wide range of programming languages and compilers. Our benchmark results indicate that the monitoring overhead will be acceptable for most developers. We performed a short case study to evaluate how effectively the AFID tool records software faults. In our case study, AFID recorded 12 software faults from the 8 participants.