Aashish Yadavally

19 papers A* 7A 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Blended Analysis for Predictive Execution.
Proc. ACM Softw. Eng.
Yi Li, Hridya Dhulipala, Aashish Yadavally, Xiaokai Rong, Shaohua Wang, Tien N. Nguyen
2025 J jnl
CRISPE: Semantic-Guided Execution Planning and Dynamic Reasoning for Enhancing Code Coverage Prediction.
Proc. ACM Softw. Eng.
Hridya Dhulipala, Aashish Yadavally, Smit Soneshbhai Patel, Tien N. Nguyen
2025 J jnl
Fuzzwise: Intelligent Initial Corpus Generation for Fuzzing.
CoRR
Hridya Dhulipala, Xiaokai Rong, Aashish Yadavally, Tien N. Nguyen
2025 J jnl
Large Language Model Critics for Execution-Free Evaluation of Code Changes.
CoRR
Aashish Yadavally, Hoan Nguyen, Laurent Callot, Gauthier Guinet
2025 A* conf
Large Language Models for Safe Minimization.
ICSE
Aashish Yadavally, Xiaokai Rong, Phat Nguyen, Tien N. Nguyen
2025 A* conf
Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets.
ICSE
Smit Patel, Aashish Yadavally, Hridya Dhulipala, Tien N. Nguyen
2024 J jnl
A Learning-Based Approach to Static Program Slicing.
Proc. ACM Program. Lang.
Aashish Yadavally, Yi Li, Shaohua Wang, Tien N. Nguyen
2024 — conf
Neural Exception Handling Recommender.
ICSE Companion
Yi Li, Tien N. Nguyen, Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo
2024 — conf
Planning to Guide LLM for Code Coverage Prediction.
FORGE
Hridya Dhulipala, Aashish Yadavally, Tien N. Nguyen
2024 — conf
Poirot: Deep Learning for API Misuse Detection.
ICSE Companion
Yi Li, Tien N. Nguyen, Shaohua Wang, Aashish Yadavally
2024 J jnl
Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning.
Proc. ACM Softw. Eng.
Aashish Yadavally, Yi Li, Tien N. Nguyen
2024 A* conf
Programming Assistant for Exception Handling with CodeBERT.
ICSE
Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo, Tien N. Nguyen
2023 A* conf
(Partial) Program Dependence Learning.
ICSE
Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, Shaohua Wang
2023 — conf
Commit-Level, Neural Vulnerability Detection and Assessment.
ESEC/SIGSOFT FSE
Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen
2023 — conf
DeMinify: Neural Variable Name Recovery and Type Inference.
ESEC/SIGSOFT FSE
Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen
2023 A* conf
DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection.
ICSE
Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, Aashish Yadavally
2022 A* conf
A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications.
ASE
Hoan Anh Nguyen, Hung Dang Phan, Syeda Khairunnesa Samantha, Son Nguyen, Aashish Yadavally, Shaohua Wang, Hridesh Rajan, Tien N. Nguyen
2022 A* conf
Next Syntactic-Unit Code Completion and Applications.
ASE
Anh Tuan Nguyen, Aashish Yadavally, Tien N. Nguyen
2022 A conf
Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications.
SANER
Thanh V. Nguyen, Aashish Yadavally, Tien N. Nguyen