defectprediction
Defect prediction is a task in software engineering that aims to identify software modules that are likely to contain defects. The goal is to guide testing, quality assurance, and risk management by focusing effort where defects are more probable. Predictions are typically made at the module, file, or class level and can cover defects found in past releases as well as potential defects in upcoming iterations.
Data sources include bug tracking systems, version control histories, and build or test data. Features commonly
Approaches include traditional statistical methods such as logistic regression and more data-driven techniques such as decision
Challenges include imbalanced defect data, noisy labels, data quality issues, and changes in development processes over