Luca Di Grazia

Orcid: 0000-0002-5306-8645

According to our database1, Luca Di Grazia authored at least 13 papers between 2022 and 2025.

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

2025
X2J Object Reconstruction Replication Package.
Dataset, December, 2025

Securing AI Agent Execution.
CoRR, October, 2025

E-Test: E'er-Improving Test Suites.
CoRR, October, 2025

From Today's Code to Tomorrow's Symphony: The AI Transformation of Developer's Routine by 2030.
ACM Trans. Softw. Eng. Methodol., June, 2025

Do LLMs Generate Useful Test Oracles? An Empirical Study with an Unbiased Dataset.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

2024
The Trailer of the ACM 2030 Roadmap for Software Engineering.
ACM SIGSOFT Softw. Eng. Notes, October, 2024

Supporting software evolution via search and prediction.
PhD thesis, 2024

PyTy: Repairing Static Type Errors in Python.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

The Fault in Our Stars: Designing Reproducible Large-scale Code Analysis Experiments.
Proceedings of the 38th European Conference on Object-Oriented Programming, 2024

2023
Code Search: A Survey of Techniques for Finding Code.
ACM Comput. Surv., November, 2023

DiffSearch: A Scalable and Precise Search Engine for Code Changes.
IEEE Trans. Software Eng., April, 2023

2022
The evolution of type annotations in python: an empirical study.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Efficiently and Precisely Searching for Code Changes with DiffSearch.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022


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