Early-Stage Prediction of Review Effort in AI-Generated Pull Requests

Early-Stage Prediction of Review Effort in AI-Generated Pull Requests
MSR 2026 Mining Challenge
Duy-Minh Dao-Sy, Trung-Kiet Huynh, Phu-Quy Nguyen-Lam, Phu-Hoa Pham, Chi-Nguyen Tran, Dinh-Ha-Duong Nguyen, Bao-Tran Truong
Predicts at creation time which agent-authored pull requests will cost maintainers the most review effort; flagging the top 20% catches 69% of total effort.

Early-Stage Prediction of Review Effort in AI-Generated Pull Requests

Dao-Sy, D.-M., Huynh, T.-K., Nguyen-Lam, P.-Q., Pham, P.-H., Tran, C.-N., Nguyen, D.-H.-D., Truong, B.-T. (2026). Early-Stage Prediction of Review Effort in AI-Generated Pull Requests. MSR 2026 Mining Challenge. arXiv:2601.00753.