Multi-Output Learning for Predicting Evaluation and Reopening of GitHub Pull Requests on Open-Source Projects. - Peerachai Banyongrakkul; Suronapee Phoomvuthisarn (ICSOFT, 2023)

DeepPull: Deep Learning-Based Approach for Predicting Reopening, Decision, and Lifetime of Pull Requests on GitHub Open-Source Projects. - Peerachai Banyongrakkul; Suronapee Phoomvuthisarn (ICSOFT (Selected Papers), 2023)

Sprint2Vec: A Deep Characterization of Sprints in Iterative Software Development. - Morakot Choetkiertikul; Peerachai Banyongrakkul; Chaiyong Ragkhitwetsagul; Suppawong Tuarob; Hoa Khanh Dam; Thanwadee Sunetnanta (IEEE Trans. Software Eng., 2025)

From Release to Adoption: Challenges in Reusing Pre-trained AI Models for Downstream Developers. - Peerachai Banyongrakkul; Mansooreh Zahedi; Patanamon Thongtanunam; Christoph Treude; Haoyu Gao (CoRR, 2025)