Reporting Dataset Selection Without Selection Bias
Dataset selection is one of the most critical stages in software engineering, artificial intelligence, machine learning, and data-driven research. A strong experimental design can still produce misleading conclusions if the dataset selection process introduces bias. For this reason, reputable journals increasingly expect researchers to justify how datasets were selected, filtered, balanced, and evaluated. In modern…