Usuhs
Deputy Director - Traumatic Injury Research Program
Turn-Key Family Therapy Jan 2004 - Mar 2009
Director of Research
Us Navy Jul 1991 - Dec 2004
Lcdr, Msc, Usn
Education:
Union Institute & University 2006 - 2010
Doctorates, Doctor of Philosophy
University of Maryland School of Medicine 1987 - 1991
Doctorates, Doctor of Philosophy, Philosophy
The Citadel 1977 - 1981
Bachelors, Bachelor of Science, Biology
Skills:
Neuroscience Clinical Research Lifesciences Science Life Sciences Healthcare Research Molecular Biology Medicine Cell Culture Cell Biology Statistics Clinical Trials Biotechnology Neurology Biochemistry Animal Models Medical Devices Public Speaking R&D Western Blotting Immunology Physiology Hardware Diagnostics Research and Development Medical Research Cancer Strategic Planning Government Public Health Teaching Data Analysis Management
Costar Group 1997 - 2010
Director, Sales Operations
Costar Group 1997 - 2010
Operations Manager
Education:
Cornell University 1992 - 1996
Skills:
Contract Negotiation Commercial Real Estate Account Management Selling Salesforce.com Market Analysis Real Estate Negotiation Sales Crm Lead Generation Sales Process Brokerage Cold Calling Business Development Strategic Planning New Business Development Leases
David Michael Keyser - San Jose CA Dennis Murray Baylor - Los Altos CA
Assignee:
Synopsys, Inc. - Mountain View CA
International Classification:
G06F 1130
US Classification:
714 47
Abstract:
A system and method for automatically analyzing a program system error. In one embodiment, the present invention electronically receives a stack trace of a program which has suffered an unknown system error. The present invention then compares the electronically received stack trace with a reference stack trace having a known system error associated therewith. In so doing, the present invention determines the similarity between the electronically received stack trace and the reference stack trace. When a predetermined degree of similarity exists between the electronically received stack trace and the reference stack trace, the present invention automatically reports information about the known system error associated with the reference stack to the address from which the electronically received stack trace was sent. Because the degree of similarity exists between the electronically received stack trace and the reference stack trace associated with the known system error, the remedial actions for the known system error also apply to the unknown system error. In so doing, the present invention provides a method and system which quickly and automatically reports the source and possible solution of a program system error, to a user of the program, without requiring extensive customer support intervention.