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2 results on '"L. Mignet"'

1. Preface to the International Workshop on Spatial and Spatio-Temporal Data Mining

Author

Giuseppe Manco, V. Janeja, S. Shekar, P. Baumann, W. Ding, Eamonn Keogh, A. McGovern, A. Sorokine, A. Rafaeta, Arie Croitoru, Ki-Joune Li, K. Deng, Ranga Raju Vatsavai, A.C. Lozano, F. Schmid, A. Filippi, Shyam Boriah, Chotirat Ann Ratanamahatana, Goo Jun, A. Appice, Dimitrios Gunopulos, Auroop R. Ganguly, Forrest M. Hoffman, V. Chandola, Anthony Stefanidis, Anil Cheriyadat, Alfredo Cuzzocrea, Pasquale Franzese, L. Panait, L. Mignet, M. Atzori, Budhendra L. Bhaduri, D. Guo, D. Papadias, M. May, S. Aksoy, V. Bogorny, Peggy Agouris, A. G. Gutierrez, R. Pagh, Shih-Chieh Kao, M. Mokbel, and S. Durbha

Subjects
Computer science, Temporal data mining, Cartography
Published
2011
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2. Quickly Finding Known Software Problems via Automated Symptom Matching

Author

M. Brodie, null Sheng Ma, G. Lohman, L. Mignet, N. Modani, M. Wilding, J. Champlin, and P. Sohn

Subjects
Matching (statistics), Computer science, business.industry, Real-time computing, computer.software_genre, Software, Product (mathematics), Software Problem, Systems architecture, Pattern matching, Data mining, business, computer, Blossom algorithm, Cost component
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

Published
2005
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