publications

2025

1. 

   Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets

   Smit Soneshbai Patel, Aashish Yadavally, Hridya Dhulipala, and Tien N. Nguyen

   2025

   Bib

   @article{PatelYZN25,
     author = {Patel, Smit Soneshbai and Yadavally, Aashish and Dhulipala, Hridya and Nguyen, Tien N.},
     title = {Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets},
     year = {2025},
     booktitle = {Proceedings of the IEEE/ACM 47th International Conference on Software Engineering},
     pages = {To Appear},
     publisher = {Association for Computing Machinery},
     location = {Ottawa, Canada},
     series = {ICSE '25},
   }

2024

1. 

   Planning to Guide LLM for Code Coverage Prediction

   Hridya Dhulipala, Aashish Yadavally, and Tien N. Nguyen

   In Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

   Bib PDF

   @inproceedings{forge24,
     author = {Dhulipala, Hridya and Yadavally, Aashish and Nguyen, Tien N.},
     title = {Planning to Guide LLM for Code Coverage Prediction},
     year = {2024},
     publisher = {{ACM}},
     booktitle = {Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering},
     pages = {24–34},
   }

2. 

   Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning

   Aashish Yadavally, Yi Li, and Tien N. Nguyen

   Proc. ACM Soft. Engg., 2024

   🏆 ACM SIGSOFT Distinguished Paper Award

   Bib PDF

   @article{fse24,
     author = {Yadavally, Aashish and Li, Yi and Nguyen, Tien N.},
     title = {Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning},
     journal = {Proc. {ACM} Soft. Engg.},
     volume = {1},
     number = {{FSE}},
     pages = {271-292},
     year = {2024},
     note = {ACM SIGSOFT Distinguished Paper Award},
     award = {true}
   }

3. 

   A Learning-Based Approach to Static Program Slicing

   Aashish Yadavally, Yi Li, Shaohua Wang, and Tien N. Nguyen

   In , Apr 2024

   Bib PDF

   @inproceedings{oopsla24,
     author = {Yadavally, Aashish and Li, Yi and Wang, Shaohua and Nguyen, Tien N.},
     title = {A Learning-Based Approach to Static Program Slicing},
     year = {2024},
     issue_date = {April 2024},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     volume = {8},
     number = {OOPSLA1},
     journal = {Proc. ACM Program. Lang.},
     month = apr,
     articleno = {97},
     numpages = {27},
   }

4. 

   Programming Assistant for Exception Handling with CodeBERT

   Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo, and Tien N. Nguyen

   In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, Apr 2024

   Bib

   @inproceedings{icse24,
     author = {Cai, Yuchen and Yadavally, Aashish and Mishra, Abhishek and Montejo, Genesis and Nguyen, Tien N.},
     title = {Programming Assistant for Exception Handling with CodeBERT},
     year = {2024},
     booktitle = {Proceedings of the IEEE/ACM 46th International Conference on Software Engineering},
     articleno = {94},
     numpages = {13},
     pages = {1146-1158},
     publisher = {Association for Computing Machinery},
     location = {Lisbon, Portugal},
     series = {ICSE '24},
   }

2023

1. 

   Commit-Level, Neural Vulnerability Detection and Assessment

   Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, and Tien N. Nguyen

   In ESEC/SIGSOFT FSE, Apr 2023

   Bib PDF Slides

   @inproceedings{DBLP:conf/sigsoft/LiYZWN23,
     author = {Li, Yi and Yadavally, Aashish and Zhang, Jiaxing and Wang, Shaohua and Nguyen, Tien N.},
     title = {Commit-Level, Neural Vulnerability Detection and Assessment},
     booktitle = {{ESEC/SIGSOFT} {FSE}},
     pages = {1024--1036},
     publisher = {{ACM}},
     year = {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, Apr 2023

   Bib PDF Slides

   @inproceedings{DBLP:conf/sigsoft/LiYZ0N23,
     author = {Li, Yi and Yadavally, Aashish and Zhang, Jiaxing and Wang, Shaohua and Nguyen, Tien N.},
     title = {DeMinify: Neural Variable Name Recovery and Type Inference},
     booktitle = {{ESEC/SIGSOFT} {FSE}},
     pages = {758--770},
     publisher = {{ACM}},
     year = {2023},
   }

3. 

   (Partial) Program Dependence Learning

   Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, and Shaohua Wang

   In ICSE, Apr 2023

   🏆 Nominated for ACM SIGSOFT Distinguished Paper Award

   Bib PDF Slides

   @inproceedings{DBLP:conf/icse/YadavallyNWW23,
     author = {Yadavally, Aashish and Nguyen, Tien N. and Wang, Wenbo and Wang, Shaohua},
     title = {(Partial) Program Dependence Learning},
     booktitle = {{ICSE}},
     pages = {2501--2513},
     publisher = {{IEEE}},
     year = {2023},
     note = {ACM SIGSOFT Distinguished Paper Award},
     nomination = {true}
   }

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, Apr 2023

   Bib PDF Slides

   @inproceedings{DBLP:conf/icse/WangNWLZY23,
     author = {Wang, Wenbo and Nguyen, Tien N. and Wang, Shaohua and Li, Yi and Zhang, Jiyuan and Yadavally, Aashish},
     title = {DeepVD: Toward Class-Separation Features for Neural Network Vulnerability
                       Detection},
     booktitle = {{ICSE}},
     pages = {2249--2261},
     publisher = {{IEEE}},
     year = {2023},
   }

2022

1. 

   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, Apr 2022

   Bib PDF

   @inproceedings{DBLP:conf/kbse/NguyenPSNYWRN22,
     author = {Nguyen, Hoan Anh and Phan, Hung Dang and Samantha, Syeda Khairunnesa and Nguyen, Son and Yadavally, Aashish and Wang, Shaohua and Rajan, Hridesh and Nguyen, Tien N.},
     title = {A Hybrid Approach for Inference between Behavioral Exception {API}
                       Documentation and Implementations, and Its Applications},
     booktitle = {{ASE}},
     pages = {2:1--2:13},
     publisher = {{ACM}},
     year = {2022},
   }

2. 

   Next Syntactic-Unit Code Completion and Applications

   Anh Tuan Nguyen, Aashish Yadavally, and Tien N. Nguyen

   In ASE, Apr 2022

   Bib PDF Slides

   @inproceedings{DBLP:conf/kbse/0001YN22,
     author = {Nguyen, Anh Tuan and Yadavally, Aashish and Nguyen, Tien N.},
     title = {Next Syntactic-Unit Code Completion and Applications},
     booktitle = {{ASE}},
     pages = {180:1--180:5},
     publisher = {{ACM}},
     year = {2022},
   }

3. 

   Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications

   Thanh V. Nguyen, Aashish Yadavally, and Tien N. Nguyen

   In SANER, Apr 2022

   🏆 IEEE TCSE Distinguished Paper Award

   Bib PDF

   @inproceedings{DBLP:conf/wcre/NguyenYN22,
     author = {Nguyen, Thanh V. and Yadavally, Aashish and Nguyen, Tien N.},
     title = {Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering
                       Applications},
     booktitle = {{SANER}},
     pages = {502--513},
     publisher = {{IEEE}},
     year = {2022},
     note = {IEEE TCSE Distinguished Paper Award},
     award = {true}
   }

2020

1. 

   An Exploration of Machine Learning-Based Day-Ahead Solar Irradiance Forecasting Methodologies

   Aashish Yadavally

   Apr 2020

   Bib PDF

   @article{ms-thesis,
     author = {Yadavally, Aashish},
     title = {An Exploration of Machine Learning-Based Day-Ahead Solar Irradiance Forecasting Methodologies},
     publisher = {{ProQuest}},
     year = {2020},
   }