Fingerprinting and Building Large Reproducible Datasets

In order to facilitate research based on datasets in empirical software engineering, the meaning of data must be able to be interpreted correctly. Datasets contain measurements that are associated with metrics and entities. In some datasets, it is not ...

This work is a companion reproducibility paper of the experiments and results reported in Giovanelli et al. (2022), where data pre-processing pipelines are evaluated in order to find pipeline prototypes that reduce the classification error of ...

• Assess the impact of data pre-processing on classification tasks.
• Generate pre-processing pipelines that improve the classification accuracy.
• Strongly reproduce the experiments that use intermediate results in the optimization.

Datasets and data sharing play an important role for innovation, benchmarking, mitigating bias, and understanding the complexity of real world AI-infused applications. However, there is a scarcity of available data generated by people with disabilities ...