Smart Prediction Method of Software Defect Using Neuro-Fuzzy Approach

Authors

  • Sunil Kumar Singh Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India
  • Raj Shree Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India

DOI:

https://doi.org/10.51983/ajcst-2018.7.2.1878

Keywords:

Neuro-Fuzzy Approach, Smart Prediction, Software, Defect

Abstract

Faults in software program structures continue to be a primary problem. A software fault is a disorder that reasons software failure in an executable product. A form of software fault predictions techniques were proposed, however none has proven to be continually correct. So, on this examine the overall performance of the Adaptive Neuro Fuzzy Inference System (ANFIS) in predicting software program defects and software program reliability has been reviewed. The datasets are taken from NASA Metrics Data Program (MDP) statistics repository. In the existing work a synthetic intelligence technique viz. Adaptive Neuro Fuzzy Inference System (ANFIS) goes for use for software disorder prediction.

References

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009

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009.

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Published

05-08-2018

How to Cite

Singh, S. K., & Shree, R. (2018). Smart Prediction Method of Software Defect Using Neuro-Fuzzy Approach. Asian Journal of Computer Science and Technology, 7(2), 6–10. https://doi.org/10.51983/ajcst-2018.7.2.1878