Corpus ID: 63994490

Software Defect Prediction Using Support Vector Machine

@article{Kaur2017SoftwareDP,
  title={Software Defect Prediction Using Support Vector Machine},
  author={Ramandeep Kaur and Harpreet Kaur},
  journal={International Journal of Advance Research, Ideas and Innovations in Technology},
  year={2017},
  volume={3}
}
  • Ramandeep Kaur, Harpreet Kaur
  • Published 2017
  • Computer Science
  • International Journal of Advance Research, Ideas and Innovations in Technology
  • Developing a defect free software system is very difficult and most of the time there are some unknown bugs or unforeseen deficiencies even in software projects where the principles of the software development methodologies were applied carefully. Due to some defective software modules, the maintenance phase of software projects could become really painful for the users and costly for the enterprises. In previous work, original data was taken with 21 features and 21 features are having high… CONTINUE READING
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    References

    SHOWING 1-9 OF 9 REFERENCES
    Cost-sensitive boosting neural networks for software defect prediction
    • Jun Zheng
    • Computer Science
    • Expert Syst. Appl.
    • 2010
    • 163
    • PDF
    Bottlenecks in Software Defect Prediction Implementation in Industrial Projects
    • 8
    • PDF
    A Learning-to-Rank Approach to Software Defect Prediction
    • 83
    • PDF
    A systematic review on software defect prediction
    • 14
    Predicting Fault Incidence Using Software Change History
    • 735
    • PDF
    A Systematic Literature Review of Software Defect Prediction: Research Trends, Datasets, Methods and Frameworks
    • 93
    • PDF
    What Every Engineer Should Know about Software Engineering
    • 106