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Seattle, WA
June 13, 2005 to June 16, 2005
ISBN: 0-7965-2276-9
pp: 101-110
Mark Brodie , IBM T.J. Watson Research Center
Sheng Ma , IBM T.J. Watson Research Center
Guy Lohman , IBM Almaden Research Center
Laurent Mignet , IBM India Research Lab
Natwar Modani , IBM India Research Lab
Mark Wilding , IBM Toronto Development Lab
Jon Champlin , Lotus Development Lab
Peter Sohn , Lotus Development Lab
ABSTRACT
We present an architecture for and prototype of a system for quickly detecting software problem recurrences. Re-discovery of the same problem is very common in many large software products and is a major cost component of product support. At run-time, when a problem occurs, the system collects the problem symptoms, including the program call-stack, and compares it against a database of symptoms to find the closest matches. The database is populated off-line using solved cases and indexed to allow for efficient matching. Thus problems that occur repeatedly can be easily and automatically resolved without requiring any human problem-solving expertise. We describe a prototype implementation of the system, including the matching algorithm, and present some experimental results demonstrating the value of automatically detecting re-occurrence of the same problem for a popular sofware product.
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CITATION
Mark Brodie, Sheng Ma, Guy Lohman, Laurent Mignet, Natwar Modani, Mark Wilding, Jon Champlin, Peter Sohn, "Quickly Finding Known Software Problems via Automated Symptom Matching", ICAC, 2005, Proceedings. Second International Conference on Autonomic Computing, Proceedings. Second International Conference on Autonomic Computing 2005, pp. 101-110, doi:10.1109/ICAC.2005.49
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