Research

  1. ICSE’26 Xiaokai Rong†, Aashish Yadavally†, Tien N. Nguyen. “Large Language Model-Aided Partial Program Dependence Analysis”. (†: joint first authors)

  2. ICSE’26 Aashish Yadavally, Tien N. Nguyen. “From Seed to Scope: Reasoning to Identify Change Impact Sets”.

  1. FSE’25 Hridya Dhulipala, Aashish Yadavally, Smit Patel, Tien N. Nguyen. “CRISPE: Semantic-Guided Execution Planning and Dynamic Reasoning for Enhancing Code Coverage Prediction”.

  2. FSE’25 Yi Li, Hridya Dhulipala, Aashish Yadavally, Xiaokai Rong, Shaohua Wang, Tien N. Nguyen. “Blended Analysis for Predictive Execution”.

  3. ICSE’25 Smit Patel, Aashish Yadavally, Hridya Dhulipala, Tien N. Nguyen. “Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets”.

  4. ICSE’25 Aashish Yadavally, Xiaokai Rong, Phat Nguyen, Tien N. Nguyen. “Large Language Models for Safe Minimization”.

  1. OOPSLA’24 Aashish Yadavally, Yi Li, Shaohua Wang, Tien N. Nguyen. “A Learning-Based Approach to Static Program Slicing”.

  2. FSE’24 Aashish Yadavally, Yi Li, Tien N. Nguyen. “Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning”.

  3. FORGE’24 Hridya Dhulipala, Aashish Yadavally, Tien N. Nguyen. “Planning to Guide LLM for Code Coverage Prediction”.

  4. ICSE’24 Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo, Tien N. Nguyen. “Programming Assistant for Exception Handling with CodeBERT”.

  5. ICSE’24-Poster Yi Li, Tien N. Nguyen, Shaohua Wang, Aashish Yadavally. “Poirot: Deep Learning for API Misuse Detection”.

  6. ICSE’24-Poster Yi Li, Tien N. Nguyen, Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo. “Neural Exception Handling Recommender.

  1. ICSE’23 Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, Aashish Yadavally. “DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection”.

  2. ICSE’23 Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, Shaohua Wang. “(Partial) Program Dependence Learning”.

  3. ESEC/FSE’23 Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen. “DeMinify: Neural Variable Name Recovery and Type Inference”.

  4. ESEC/FSE’23 Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen. “Commit-Level, Neural Vulnerability Detection and Assessment”.

  1. ASE’22 Hoan Anh Nguyen, Hung Dang Phan, Syeda Khairunnesa Samantha, Son Nguyen, Aashish Yadavally, Shaohua Wang, Hridesh Rajan, Tien N. Nguyen. “A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications”.

  2. ASE’22-NIER Anh Tuan Nguyen, Aashish Yadavally, Tien N. Nguyen. “Next Syntactic-Unit Code Completion and Applications”.

  3. SANER’22 Thanh V. Nguyen, Aashish Yadavally, Tien N. Nguyen. “Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications”.