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Application of Logistic Regression to Predict Over Target Baseline of Software Projects

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Executive Summary

Earned Value Analysis (EVA) is a project management technique (Stephan and Mario, 2006). It is one of the most effective performance measurement tools for controlling and managing the development projects. EVAt assists, the project manager to cognize the project status and predicts future performance. The objective of this paper is to predict the Over Target Baseline (OTB) and Estimate At Completion (EAC) of the in-progress projects, based on the Earned Value Analysis (EVA) using Logistic Regression techniques. For this purpose, the authors obtained ongoing data pertaining to projects from one of the major Information Technology (IT) Company.

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