publications

listed in reversed chronological order, click [here] for full list.

2024

  1. FORGE
    Planning to Guide LLM for Code Coverage Prediction
    Hridya Dhulipala, Aashish Yadavally, and Tien N. Nguyen
    2024
  2. FSE
    Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning
    Aashish Yadavally, Yi Li, and Tien N. Nguyen
    Proc. ACM Soft. Engg., 2024
  3. OOPSLA
    A Learning-Based Approach to Static Program Slicing
    Aashish Yadavally, Yi Li, Shaohua Wang, and Tien N. Nguyen
    Proc. ACM Program. Lang., 2024
  4. Learning to Recommend Exception Handling
    Yi Li, Aashish Yadavally, Yuchen Cai, Abhishek Mishra, Genesis Montejo, and Tien N. Nguyen
    In , 2024
  5. ICSE
    Programming Assistant for Exception Handling with CodeBERT
    Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo, and Tien N. Nguyen
    2024

2023

  1. ESEC/FSE
    Commit-Level, Neural Vulnerability Detection and Assessment
    Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, and Tien N. Nguyen
    In ESEC/SIGSOFT FSE, 2023
  2. DeMinify: Neural Variable Name Recovery and Type Inference
    Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, and Tien N. Nguyen
    In ESEC/SIGSOFT FSE, 2023
  3. ICSE
    (Partial) Program Dependence Learning
    Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, and Shaohua Wang
    In ICSE, 2023

    🏆 Nominated for ACM SIGSOFT Distinguished Paper Award

  4. DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection
    Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, and Aashish Yadavally
    In ICSE, 2023

2022

  1. ASE
    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, and Tien N. Nguyen
    In ASE, 2022
  2. Next Syntactic-Unit Code Completion and Applications
    Anh Tuan Nguyen, Aashish Yadavally, and Tien N. Nguyen
    In ASE, 2022
  3. SANER
    Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications
    Thanh V. Nguyen, Aashish Yadavally, and Tien N. Nguyen
    In SANER, 2022

    🏆 IEEE TCSE Distinguished Paper Award

2020

  1. MS Thesis
    An Exploration of Machine Learning-Based Day-Ahead Solar Irradiance Forecasting Methodologies
    Aashish Yadavally
    2020