The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 28, 2012
Filed:
Jan. 15, 2008
William Carlisle Arnold, Mahopac, NY (US);
Daniel Christopher Berg, Holly Springs, NC (US);
Brad Lee Blancett, Raleigh, NC (US);
Tamar Eilam, New York, NY (US);
Michael Damein Elder, Durham, NC (US);
Chad M. Holliday, Holly Springs, NC (US);
Michael Husayn Kalantar, Chapel Hill, NC (US);
Alexander V. Konstantinou, New York, NY (US);
Narinder Makin, Morrisville, NC (US);
Edward Charles Snible, Bronx, NY (US);
John Eric Swanke, Terryville, CT (US);
Andrew Neil Trossman, North York, CA;
Paul Darius Vytas, Toronto, CA;
Alice Tae Yun Yeung, Markham, CA;
William Carlisle Arnold, Mahopac, NY (US);
Daniel Christopher Berg, Holly Springs, NC (US);
Brad Lee Blancett, Raleigh, NC (US);
Tamar Eilam, New York, NY (US);
Michael Damein Elder, Durham, NC (US);
Chad M. Holliday, Holly Springs, NC (US);
Michael Husayn Kalantar, Chapel Hill, NC (US);
Alexander V. Konstantinou, New York, NY (US);
Narinder Makin, Morrisville, NC (US);
Edward Charles Snible, Bronx, NY (US);
John Eric Swanke, Terryville, CT (US);
Andrew Neil Trossman, North York, CA;
Paul Darius Vytas, Toronto, CA;
Alice Tae Yun Yeung, Markham, CA;
International Business Machines Corporation, Armonk, NY (US);
Abstract
Computer implemented method, system and computer usable program code for configuring a computing system. A determination is made whether there are any errors in the model, and responsive to determining that there is at least one error in the model, a determination is made whether there is at least one resolution for correcting the at least one error. Responsive to determining that there is at least one resolution for correcting the at least one error, at least one resolution among the at least one resolution for correcting the at least one error is selected to form at least one selected resolution to correct the at least one error. The at least one selected resolution is applied to the model to form a transformed model, and the transformed model is output to a user.