Software Quality Classification with Imbalanced and Noisy Data

摘要

The objective of this study is to evaluate the impact of poor data quality on the analysis of software quality prediction models. The reliability and performance analysis of high assurance and mission critical software systems can be significantly affected by the quality of the data. The experimental results in this study demonstrate the dramatic effect of using incorrect class labels on the analysis of software quality classification performance models.