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Neural Network Based Effort Prediction Model for Maintenance Projects

  • V. Bharathi
  • Udaya Shastry
Conference paper
  • 1.1k Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 155)

Abstract

One of the most critical requirements of High Maturity practices is the development of valid and usable prediction models (Process Performance Model, PPM) for quantitatively managing the outcome of a process. Multiple Regression Analysis is a tool generally used for model building. Over the last few years, Artificial Neural Networks have received a great deal of attention as prediction and classification tools. They have been applied successfully in diverse fields as data analysis tools. Here, we explore the applicability of neural network models for bug fix effort prediction in corrective maintenance project and present our findings

Keywords

Process Performance Model Neural Networks 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • V. Bharathi
    • 1
  • Udaya Shastry
    • 1
  1. 1.Wipro TechnologiesBangaloreIndia

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