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:
Mar. 09, 2010

Filed:

Aug. 25, 2006
Applicants:

Deandra T. Cassone, Overland Park, KS (US);

Joseph E. Dudley, Overland Park, KS (US);

George R. Kather, Leavenworth, KS (US);

Paul R. Sapenaro, Overland Park, KS (US);

Jason N. Ward, Lee's Summit, MO (US);

Inventors:

Deandra T. Cassone, Overland Park, KS (US);

Joseph E. Dudley, Overland Park, KS (US);

George R. Kather, Leavenworth, KS (US);

Paul R. Sapenaro, Overland Park, KS (US);

Jason N. Ward, Lee's Summit, MO (US);

Assignee:

Sprint Communications Company L.P., Overland Park, KS (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01); G06F 15/16 (2006.01);
U.S. Cl.
CPC ...
Abstract

A computer implemented system for project prediction is provided. The system includes a data manager to obtain historical project data. The system also includes an analyzer to analyze the historical project data to generate models for a proposed project cycle time. Additionally, the system includes a user interface to select one model for the proposed project cycle time, wherein the selected model includes linear sub-models corresponding to a historical data range, and apply proposed project data to one linear sub-model corresponding to a proposed data range to predict the proposed project cycle time. Furthermore, the system captures proposed project data and obtains additional project data to update the selected model. The models provide for the accurate prediction of cycle times, or project costs, in an enterprise development environment.


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