Sprint Communications Comapny L.p.

George R Kather

Deandra T Cassone

Jason Norwood Ward

Paul R Sapenaro

Joseph E Dudley

Merzad Hemmat

L Shannon Hindman

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 and an analysis cycle time 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 and analysis cycle time 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.

Enhanced project predictor

An enterprise development process for outsourced software development is provided. The process includes generating, by a business unit of an entity or organization, a concept requiring one or more computer applications, such as a project. An information technology unit of the entity may then create an integrated architecture blueprint including a design of at least a portion of the one or more computer applications. One or more outsourced suppliers of the entity, design at least a portion of the application according to the integrated architecture blueprint. The information technology unit integrates the application into a computing production environment of the entity.

Enterprise software development process for outsourced developers

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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Leavenworth, KS, United States of America

George R Kather