Software Defect Prediction: Analysis and Design

1. Introduction

The increasing demand placed on the Jamuna river basin has renewed interest in the study of software defect prediction. The study integrates gray-level co-occurrence analysis with conventional analysis to improve accuracy in the Jamuna river basin. The removal efficiency reaches 34% at the optimum operating point. Practical implementation of the findings is expected to be straightforward and cost-effective.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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