Research

Publications

(arranged in reverse chronological order, see Google Scholar for full list)

2026 (2x ICSE)
  1. [ICSE’26] Large Language Model-Aided Partial Program Dependence Analysis
    • Aashish Yadavally†, Xiaokai Rong†, Tien N. Nguyen (†: joint first authors)
    • Proceedings of the 48th IEEE/ACM International Conference on Software Engineering, Rio de Janeiro, Brazil, April 12-18, 2026
    • Acceptance Rate: 24.2% (Cycle 1: 160 out of 660 papers accepted)
  2. [ICSE’26] From Seed to Scope: Reasoning to Identify Change Impact Sets
    • Aashish Yadavally, Tien N. Nguyen
    • Proceedings of the 48th IEEE/ACM International Conference on Software Engineering, Rio de Janeiro, Brazil, April 12-18, 2026
    • Acceptance Rate: 24.2% (Cycle 1: 160 out of 660 papers accepted)
2025 (2x ICSE, 2x FSE)
  1. [FSE’25] CRISPE: Semantic-Guided Execution Planning and Dynamic Reasoning for Enhancing Code Coverage Prediction
    • Hridya Dhulipala, Aashish Yadavally, Smit Patel, Tien N. Nguyen
    • Proceedings of the ACM on Software Engineering (PACMSE), Vol. 2, ACM International Conference on the Foundations of Software Engineering (FSE 2025), Trondheim, Norway, June 23-27, 2025
    • Acceptance Rate: 26.2% (135 out of 515 papers accepted)
  2. [FSE’25] Blended Analysis for Predictive Execution
    • Yi Li, Hridya Dhulipala, Aashish Yadavally, Xiaokai Rong, Shaohua Wang, Tien N. Nguyen
    • Proceedings of the ACM on Software Engineering (PACMSE), Vol. 2, ACM International Conference on the Foundations of Software Engineering (FSE 2025), Trondheim, Norway, June 23-27, 2025
    • Acceptance Rate: 26.2% (135 out of 515 papers accepted)
  3. [ICSE’25] Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets
    • Smit Patel, Aashish Yadavally, Hridya Dhulipala, Tien N. Nguyen
    • Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, Ottawa, Ontario, Canada, April 27-May 3, 2025
    • Acceptance Rate: 21.3% (245 out of 1150 papers accepted)
  4. [ICSE’25] Large Language Models for Safe Minimization
    • Aashish Yadavally, Xiaokai Rong, Phat Nguyen, Tien N. Nguyen
    • Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, Ottawa, Ontario, Canada, April 27-May 3, 2025
    • Acceptance Rate: 21.3% (245 out of 1150 papers accepted)
2024 (3x ICSE, 1x FSE, 1x OOPSLA, 1x FORGE)
  1. [OOPSLA’24] A Learning-Based Approach to Static Program Slicing
    • Aashish Yadavally, Yi Li, Shaohua Wang, Tien N. Nguyen
    • Proceedings of the ACM on Programming Languages (PACMPL), Vol. 8, ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA 2024), Pasadena, California, USA, October 20–25, 2024
    • Acceptance Rate: 38.5% (148 out of 384 papers accepted)
  2. [FSE’24] Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning
    • Aashish Yadavally, Yi Li, Tien N. Nguyen
    • Proceedings of the ACM on Software Engineering (PACMSE), Vol. 1, ACM International Conference on the Foundations of Software Engineering (FSE 2024), Porto de Galinhas, Brazil, July 15-19, 2024
    • Acceptance Rate: 27.3% (132 out of 483 papers accepted)
    • 🏆 ACM SIGSOFT Distinguished Paper Award
  3. [FORGE’24] Planning to Guide LLM for Code Coverage Prediction
    • Hridya Dhulipala, Aashish Yadavally, Tien N. Nguyen
    • Proceedings of the 1st IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, Lisbon, Portugal, April 14, 2024
    • Acceptance Rate: 50% (8 out of 16 papers accepted)
  4. [ICSE’24] Programming Assistant for Exception Handling with CodeBERT
    • Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo, Tien N. Nguyen
    • Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, Lisbon, Portugal, April 14-20, 2024
    • Acceptance Rate: 22.3% (234 out of 1049 papers accepted)
  5. [ICSE’24-Poster] Poirot: Deep Learning for API Misuse Detection
    • Yi Li, Tien N. Nguyen, Shaohua Wang, Aashish Yadavally
    • Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, Lisbon, Portugal, April 14-20, 2024
  6. [ICSE’24-Poster] Neural Exception Handling Recommender
    • Yi Li, Tien N. Nguyen, Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo
    • Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, Lisbon, Portugal, April 14-20, 2024
2023 (2x ICSE, 2x ESEC/FSE)
  1. [ICSE’23] DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection
    • Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, Aashish Yadavally
    • Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, Melbourne, Australia, May 14-20, 2023
    • Acceptance Rate: 26.3% (209 out of 796 papers accepted)
  2. [ICSE’23] (Partial) Program Dependence Learning
    • Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, Shaohua Wang
    • Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, Melbourne, Australia, May 14-20, 2023
    • Acceptance Rate: 26.3% (209 out of 796 papers accepted)
    • 🏆 Nomination for ACM SIGSOFT Distinguished Paper Award
  3. [ESEC/FSE’23] DeMinify: Neural Variable Name Recovery and Type Inference
    • Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen
    • Proceedings of the 32nd ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, San Francisco, California, United States, December 3-9, 2023
    • Acceptance Rate: 27.0% (127 out of 470 papers accepted)
  4. [ESEC/FSE’23] Commit-Level, Neural Vulnerability Detection and Assessment
    • Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen
    • Proceedings of the 32nd ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, San Francisco, California, United States, December 3-9, 2023
    • Acceptance Rate: 27.0% (127 out of 470 papers accepted)
2022 (2x ASE, 1x SANER)
  1. [ASE’22] A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications
    • Hoan Anh Nguyen, Hung Dang Phan, Syeda Khairunnesa Samantha, Son Nguyen, Aashish Yadavally, Shaohua Wang, Hridesh Rajan, Tien N. Nguyen
    • Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, Oakland Center, Michigan, United States, October 10-14, 2022
    • Acceptance Rate: 24.0% (82 out of 337 papers accepted)
  2. [ASE’22-NIER] Next Syntactic-Unit Code Completion and Applications
    • Anh Tuan Nguyen, Aashish Yadavally, Tien N. Nguyen
    • Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering: Companion Proceedings, Oakland Center, Michigan, United States, October 10-14, 2022
  3. [SANER’22] Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications
    • Thanh V. Nguyen, Aashish Yadavally, Tien N. Nguyen
    • Proceedings of the 29th IEEE International Conference on Software Analysis, Evolution and Reengineering, 15-18 March 2022
    • Acceptance Rate: 36.2% (72 out of 199 papers accepted)
    • 🏆IEEE TCSE Distinguished Paper Award