Aashish Yadavally

According to our database, Aashish Yadavally authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning.

Aashish Yadavally, Yi Li, Tien N. Nguyen

Proc. ACM Softw. Eng., 2024

A Learning-Based Approach to Static Program Slicing.

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

Proc. ACM Program. Lang., 2024

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, 2024

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, 2024

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, 2024

Planning to Guide LLM for Code Coverage Prediction.

Hridya Dhulipala, Aashish Yadavally, Tien N. Nguyen

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

2023

Commit-Level, Neural Vulnerability Detection and Assessment.

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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

DeMinify: Neural Variable Name Recovery and Type Inference.

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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

(Partial) Program Dependence Learning.

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

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

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, 2023

2022

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

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

Proceedings of the IEEE International Conference on Software Analysis, 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, Tien N. Nguyen

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

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, 2022