Investigating the impact of fault data completeness over time on predicting class fault-proneness

When constructing fault-proneness prediction models, researchers and software engineers are advised to rely on systems that have relatively long maintenance histories. Researchers and software engineers can use the PIF value as an indicator for deciding when to stop collecting fault data.