Timothy E Snow

US Patent:

8458271, Jun 4, 2013

Filed:

Nov 9, 2010

Appl. No.:

12/942216

Inventors:

Steven F. Best - Groton MA, US
Janice M. Girouard - Austin TX, US
Timothy B. Snow - Westford MA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 15/16

US Classification:

709206

Abstract:

The disclosure provides a solution for delegating email messages for human summaries. In the solution, an email message in an inbox of an account holder can be identified, where the email message has a read status of unread. The email message can be from a sender and can comprise email content. The email message can be sent from the inbox of the account holder to a delegate. The delegate can be associated with an email address corresponding to a human who is not the account holder or the sender. A summary can be received for the email content from the delegate. The summary can be presented in a user interface to the account holder. Responsive to presenting the summary, the read status of the email message can be changed from unread to read.

US Patent:

20120197628, Aug 2, 2012

Filed:

Jan 28, 2011

Appl. No.:

13/016584

Inventors:

Steven F. Best - Groton MA, US
Stanley K. Jerrard-Dunne - Dublin, IE
Janice M. Girouard - Austin TX, US
Timothy B. Snow - Westford MA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/28

US Classification:

704 2

Abstract:

Embodiments of the present invention provide a method, system and computer program product for multi-lingual support during spell checking of a block of text. In an embodiment of the invention, a method for multi-lingual spell checking of a block of text is provided. The method includes spell checking text of a source language such as a word in a source language in a block of text of the source language in a computer program executing in memory of a host computer. The method further includes locating suggested correctly spelled text for the spell checked text in a dictionary for the source language. The method yet further includes translating the located suggested correctly spelled text into a translation of the located suggested correctly spelled text in a secondary language. Finally, the method includes displaying both the located suggested correctly spelled text in the source language and the translation of the located suggested correctly spelled text in the secondary language in connection with the spell checked text.

US Patent:

20210049092, Feb 18, 2021

Filed:

Oct 19, 2020

Appl. No.:

17/073501

Inventors:

- Armonk NY, US
Vinodkumar Raghavan Nair - Westford MA, US
Derek M. Reedy - Ayer MA, US
Timothy B. Snow - Westford MA, US

International Classification:

G06F 11/36
G06F 40/194
G06F 40/279

Abstract:

According to an aspect, software test failures are analyzed using natural language processing (NLP) and machine learning. A failure is detected during a code build associated with a software product. Each change set since a last successful code build associated with the software product is identified and analyzed using NLP to extract change set features. A software defect origin model is applied to the extracted features in each analyzed change set to detect an origin of the failure.

US Patent:

20190324886, Oct 24, 2019

Filed:

Jul 1, 2019

Appl. No.:

16/459292

Inventors:

- Armonk NY, US
Timothy Bruce Snow - Littleton MA, US
Sabrina Yee - Littleton MA, US

International Classification:

G06F 11/36
G06N 20/00
G06N 5/04
G06F 8/30
G06F 8/70
G06F 9/451
G06F 11/00

Abstract:

A tool for automatic pre-detection of potential software product impact according to a statement placed in a software development system, and for automatically recommending for resolutions which accesses a repository of information containing a history of changes and effects of the changes for a software project; using a received a statement in natural language to perform a natural language search of the repository; according to the findings of the search of the repository, using a machine learning model to compose an impact prediction regarding the received statement relative to the findings; and automatically placing an advisory notice regarding to the impact prediction into the software development system, wherein the advisory notice is associated with the received statement.

US Patent:

20180107583, Apr 19, 2018

Filed:

Dec 15, 2017

Appl. No.:

15/843515

Inventors:

- Armonk NY, US
Timothy Bruce Snow - Littleton MA, US
Sabrina Yee - Littleton MA, US

International Classification:

G06F 11/36
G06N 99/00
G06N 5/04
G06F 8/30
G06F 9/44
G06F 15/18
G06F 8/70
G06F 11/00

Abstract:

A tool for automatic pre-detection of potential software product impact according to a statement placed in a software development system, and for automatically recommending for resolutions which accesses a repository of information containing a history of changes and effects of the changes for a software project; using a received a statement in natural language to perform a natural language search of the repository; according to the findings of the search of the repository, using a machine learning model to compose an impact prediction regarding the received statement relative to the findings; and automatically placing an advisory notice regarding to the impact prediction into the software development system, wherein the advisory notice is associated with the received statement.

US Patent:

20170262360, Sep 14, 2017

Filed:

Mar 8, 2016

Appl. No.:

15/064148

Inventors:

- Armonk NY, US
Vinodkumar Raghavan - Westford MA, US
Derek M. Reedy - Ayer MA, US
Timothy B. Snow - Westford MA, US

International Classification:

G06F 11/36
G06N 99/00
G06F 17/27

Abstract:

According to an aspect, software test failures are analyzed using natural language processing (NLP) and machine learning. A failure is detected during a code build associated with a software product. Each change set since a last successful code build associated with the software product is identified and analyzed using NLP to extract change set features. A software defect origin model is applied to the extracted features in each analyzed change set to detect an origin of the failure. The software defect origin model includes a mathematical description of patterns learned from previously detected failures and their corresponding features.

US Patent:

20170206152, Jul 20, 2017

Filed:

Feb 26, 2016

Appl. No.:

15/054393

Inventors:

- Armonk NY, US
Vinodkumar Raghavan - Westford MA, US
Derek M. Reedy - Ayer MA, US
Timothy B. Snow - Westford MA, US

International Classification:

G06F 11/36
G06N 3/00
G06N 99/00

Abstract:

A computer-implemented method is provided for determining quality metrics for a question set. In an implementation, a test question set model may be produced based upon calculated quality metrics of a test question set with respect to a test corpus, and including features representing quality metrics. The test question set model may be compared to a baseline question set model based on a distance calculated between one or more projected model features of the baseline question set model and one or more runtime model features of the test question set model. Contents of the test question set may be adjusted based upon the calculated distance.

US Patent:

20170206154, Jul 20, 2017

Filed:

Jan 20, 2016

Appl. No.:

15/001698

Inventors:

- Armonk NY, US
Vinodkumar Raghavan - Westford MA, US
Derek M. Reedy - Ayer MA, US
Timothy B. Snow - Westford MA, US

International Classification:

G06F 11/36

Abstract:

A computer-implemented method, computer program product, and system are provided for determining quality metrics for a question set. In an implementation, a test question set model may be produced based upon calculated quality metrics of a test question set with respect to a test corpus, and including features representing quality metrics. The test question set model may be compared to a baseline question set model based on a distance calculated between one or more projected model features of the baseline question set model and one or more runtime model features of the test question set model. Contents of the test question set may be adjusted based upon the calculated distance.