publications | Aashish Yadavally

2026

From Seed to Scope: Reasoning to Identify Change Impact Sets

Aashish Yadavally, and Tien N. Nguyen

2026

@article{YadavallyN26,
  author = {Yadavally, Aashish and Nguyen, Tien N.},
  title = {From Seed to Scope: Reasoning to Identify Change Impact Sets},
  year = {2026},
  booktitle = {Proceedings of the IEEE/ACM 47th International Conference on Software Engineering},
  pages = {To Appear},
  publisher = {{IEEE}},
  location = {Rio de Janeiro, Brazil},
  series = {ICSE '26},
}

Large Language Model-Aided Partial Program Dependence Analysis

Xiaokai Rong, Aashish Yadavally, and Tien N. Nguyen

2026

Bib

@article{RongYN26,
  author = {Rong, Xiaokai and Yadavally, Aashish and Nguyen, Tien N.},
  title = {Large Language Model-Aided Partial Program Dependence Analysis},
  year = {2026},
  booktitle = {Proceedings of the IEEE/ACM 47th International Conference on Software Engineering},
  pages = {To Appear},
  publisher = {{IEEE}},
  location = {Rio de Janeiro, Brazil},
  series = {ICSE '26},
}

2025

CRISPE: Semantic-Guided Execution Planning and Dynamic Reasoning for Enhancing Code Coverage Prediction

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

Proc. ACM Softw. Eng., 2025

Bib PDF

@article{DBLP:journals/pacmse/DhulipalaYPN25,
  author = {Dhulipala, Hridya and Yadavally, Aashish and Patel, Smit Soneshbhai and Nguyen, Tien N.},
  title = {{CRISPE:} Semantic-Guided Execution Planning and Dynamic Reasoning
                    for Enhancing Code Coverage Prediction},
  journal = {Proc. {ACM} Softw. Eng.},
  volume = {2},
  number = {{FSE}},
  pages = {2965--2986},
  year = {2025},
}

Blended Analysis for Predictive Execution

Yi Li, Hridya Dhulipala, Aashish Yadavally, Xiaokai Rong, Shaohua Wang, and Tien N. Nguyen

Proc. ACM Softw. Eng., 2025

Bib PDF

@article{DBLP:journals/pacmse/LiDYRWN25,
  author = {Li, Yi and Dhulipala, Hridya and Yadavally, Aashish and Rong, Xiaokai and Wang, Shaohua and Nguyen, Tien N.},
  title = {Blended Analysis for Predictive Execution},
  journal = {Proc. {ACM} Softw. Eng.},
  volume = {2},
  number = {{FSE}},
  pages = {2987--3008},
  year = {2025},
}

Large Language Models for Safe Minimization

Aashish Yadavally, Xiaokai Rong, Phat Nguyen, and Tien N. Nguyen

2025

Bib PDF

@article{YadavallyRNN25,
  author = {Yadavally, Aashish and Rong, Xiaokai and Nguyen, Phat and Nguyen, Tien N.},
  title = {Large Language Models for Safe Minimization},
  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},
}

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 = {872--884},
  publisher = {Association for Computing Machinery},
  location = {Ottawa, Canada},
  series = {ICSE '25},
}

2024

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 = {1114--1126},
}

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}
}

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},
}

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

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},
}

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},
}

(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}
}

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

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},
}

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},
}

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

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},
}