Aashish Yadavally

Orcid: 0000-0001-8785-6319

According to our database1, Aashish Yadavally authored at least 20 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
The Path Not Taken: Duality in Reasoning about Program Execution.
CoRR, April, 2026

2025
Fuzzwise: Intelligent Initial Corpus Generation for Fuzzing.
CoRR, December, 2025

Large Language Model Critics for Execution-Free Evaluation of Code Changes.
CoRR, January, 2025

Blended Analysis for Predictive Execution.
Proc. ACM Softw. Eng., 2025

CRISPE: Semantic-Guided Execution Planning and Dynamic Reasoning for Enhancing Code Coverage Prediction.
Proc. ACM Softw. Eng., 2025

Large Language Models for Safe Minimization.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning.
Proc. ACM Softw. Eng., 2024

A Learning-Based Approach to Static Program Slicing.
Proc. ACM Program. Lang., 2024

Neural Exception Handling Recommender.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Poirot: Deep Learning for API Misuse Detection.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Programming Assistant for Exception Handling with CodeBERT.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Planning to Guide LLM for Code Coverage Prediction.
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.
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.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

(Partial) Program Dependence Learning.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications.
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.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Next Syntactic-Unit Code Completion and Applications.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022


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