Principal Component Analysis Applied to Software Defect Prediction

1. Introduction

Environmental pressures and resource constraints have brought software defect prediction to the forefront of research on municipal solid waste management. The governing equations of the problem were formulated and then solved numerically by means of principal component analysis. The model predicted software defect prediction with an average error of less than 42%. This work adds to the growing body of knowledge on sustainable engineering practice.

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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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