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.

Date of Patent:
Nov. 26, 2019

Filed:

Nov. 21, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Howard Hess, Winnetka, IL (US);

Eitan Farchi, Pardes Hana, IL;

Orna Raz, Haifa, IL;

Rachel Tzoref-Brill, Haifa, IL;

Aviad Zlotnick, Mitzpeh Netofah, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2018.01); G06F 11/36 (2006.01); G06Q 40/08 (2012.01);
U.S. Cl.
CPC ...
G06F 11/3668 (2013.01); G06Q 40/08 (2013.01);
Abstract

A method, system and computer program product, the method comprising: receiving a partial description of a combinatorial model defining a test space and comprising a set of attributes, a respective domain for each attribute defining possible values for the attribute, and restrictions, each comprising an attribute, a respective value and a logical operator, the partial description comprising an attribute and a value thereof; computing a similarity measurement between the partial description and each model in a corpus, based on similarity of attributes and domains, and not on a test space defined by compared models, whereby similarity between models is indifferent to a size of the test space of the models; selecting models from the corpus according to the computed similarity measurements; determining elements from the selected models to be suggested for modifying the partial description; and outputting the suggestions to modify the partial description useful for completing the combinatorial model.


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