NDLI: Quickly Finding Known Software Problems via Automated Symptom Matching

Content Provider	IEEE Xplore Digital Library
Author	Brodie, M. Sheng Ma Lohman, G. Mignet, L. Wilding, M. Champlin, J. Sohn, P.
Copyright Year	2005
Description	Author affiliation: Res. Center, T. J. Watson Res. Center, Yorktown Heights, NY (Brodie, M.; Sheng Ma)
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
Sponsorship	IEEE Comput. Soc. Nat. Sci. Found
Starting Page	101
Ending Page	110
File Size	273566
Page Count	10
File Format	PDF
ISBN	0796522769
DOI	10.1109/ICAC.2005.49
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Humans Costs Software systems Computer architecture Software prototyping Runtime Problem-solving Prototypes Measurement standards
Content Type	Text
Resource Type	Article

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