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:
Dec. 11, 2012

Filed:

Feb. 28, 2012
Applicants:

Sean Morris, Renmore, IE;

Keith Kroeger, Renmore, IE;

Thomas Mcguire, Claregalway, IE;

Igor Nikolaev, Galway, IE;

Inventors:

Sean Morris, Renmore, IE;

Keith Kroeger, Renmore, IE;

Thomas McGuire, Claregalway, IE;

Igor Nikolaev, Galway, IE;

Assignee:

FMR LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 19/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A computer-implemented method is provided for optimizing allocation of resources across stories for a release within an Agile development environment. The method includes receiving (i) resource information representing a plurality of resources available for allocation to the stories, (ii) one or more story definitions, each story definition comprising a unique identifier and one or more story-level constraints corresponding to a story, (iii) release information, (iv) iteration information, and (iv) one or more optimization criteria. The method also includes generating a plurality of story-level allocation scenarios and determining one or more optimized story-level allocation scenarios from the plurality of story-level allocation scenarios. Each story-level allocation scenario satisfies the one or more story-level constraints associated with each story definition. Each optimized story-level allocation scenario optimizes assignment of iterations or allocation of resources to the stories to satisfy the one or more optimization criteria.


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