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Genetic algorithm plus cost sensitive neural network for bug prediction

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Term Project EECS 545

Term project for EECS 545 at University of Michigan Ann Arbor

Developed by

  1. Aditya Shah

  2. Akhila Rallapalli

  3. Sharath Nittur Shridhar

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The project explores the use of genetic algorithms and cost sensitive neural networks to construct a model for bug prediction in source code.

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Genetic algorithm plus cost sensitive neural network for bug prediction

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  • Python 100.0%