Just-in-Time (JIT) defect prediction---a technique which aims to predict bugs at change level---has been paid more attention. JIT defect prediction leverages the SZZ approach to identify bug-introducing changes. Recently, researchers found that the performance of SZZ (including its variants) is impacted by many noises. SZZ may considerably mislabel changes that are used to train a JIT defect prediction model, and thus impact the prediction accuracy.
- Just-in-Time Defect Prediction
- Mining Software Repositories
- Noisy Data