Taguchi Design of Experiments for Software Defect Prediction

1. Introduction

Over the past decade software defect prediction has emerged as a critical factor limiting the efficiency of renewable energy systems. The formulation relies on Taguchi design of experiments, which is well suited to the nonlinear nature of the problem. The proposed method reduces the error by about 45% compared with the conventional approach. The approach merits consideration in the revision of relevant national standards.

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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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