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2020 – today
- 2024
[b1]Luca Di Grazia:
Supporting software evolution via search and prediction. University of Stuttgart, Germany, 2024- [j3]Mauro Pezzè, Matteo Ciniselli, Luca Di Grazia, Niccolò Puccinelli, Ketai Qiu:
The Trailer of the ACM 2030 Roadmap for Software Engineering. ACM SIGSOFT Softw. Eng. Notes 49(4): 31-40 (2024) - [c4]Petr Maj, Stefanie Muroya, Konrad Siek, Luca Di Grazia, Jan Vitek:
The Fault in Our Stars: Designing Reproducible Large-scale Code Analysis Experiments. ECOOP 2024: 27:1-27:23 - [c3]Yiu Wai Chow
, Luca Di Grazia, Michael Pradel:
PyTy: Repairing Static Type Errors in Python. ICSE 2024: 87:1-87:13 - [i4]Yiu Wai Chow, Luca Di Grazia, Michael Pradel:
PyTy: Repairing Static Type Errors in Python. CoRR abs/2401.06619 (2024) - [i3]Matteo Ciniselli, Niccolò Puccinelli, Ketai Qiu, Luca Di Grazia:
From Today's Code to Tomorrow's Symphony: The AI Transformation of Developer's Routine by 2030. CoRR abs/2405.12731 (2024) - 2023
- [j2]Luca Di Grazia, Michael Pradel:
Code Search: A Survey of Techniques for Finding Code. ACM Comput. Surv. 55(11): 220:1-220:31 (2023) - [j1]Luca Di Grazia, Paul Bredl, Michael Pradel:
DiffSearch: A Scalable and Precise Search Engine for Code Changes. IEEE Trans. Software Eng. 49(4): 2366-2380 (2023) - 2022
- [c2]Luca Di Grazia:
Efficiently and Precisely Searching for Code Changes with DiffSearch. ICSE-Companion 2022: 313-315 - [c1]Luca Di Grazia, Michael Pradel:
The evolution of type annotations in python: an empirical study. ESEC/SIGSOFT FSE 2022: 209-220 - [i2]Luca Di Grazia, Michael Pradel:
Code Search: A Survey of Techniques for Finding Code. CoRR abs/2204.02765 (2022) - [i1]Luca Di Grazia, Paul Bredl, Michael Pradel:
DiffSearch: A Scalable and Precise Search Engine for Code Changes. CoRR abs/2204.02787 (2022)
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