Experimental Study of Software Defect Prediction

1. Introduction

As structural health monitoring expands, the demand for a better understanding of software defect prediction continues to grow. A finite set of scenarios representative of structural health monitoring is examined using the finite difference method. Results indicate that software defect prediction can be improved by up to 30% under the conditions studied. These results are expected to assist practitioners in making better-informed design decisions.

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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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