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Prediction of software quality using neuro-fuzzy model

Author

Listed:
  • Saumendra Pattnaik
  • Binod Kumar Pattanayak
  • Srikanta Patnaik

Abstract

In the era of digital systems, management of software project is the biggest challenge. So, early prediction of software quality plays a vital role in the software industry. It helps the management to take the qualitative decisions. In this paper the prediction model proposed by us is a hybrid one with the combination of neural network and fuzzy logic, which discards their individual limitations. This model provides some features which are able to deal with various objectives at the time of software development process. Using this model the prediction of software quality can be measured that also helps in checking the errors and avoiding the expense of redoing.

Suggested Citation

  • Saumendra Pattnaik & Binod Kumar Pattanayak & Srikanta Patnaik, 2018. "Prediction of software quality using neuro-fuzzy model," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 5(3), pages 292-307.
    • Handle: RePEc:ids:ijient:v:5:y:2018:i:3:p:292-307
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