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Aryaz Eghbali
Aryaz Eghbali
PhD Student, University of Stuttgart
E-mail confirmado em iste.uni-stuttgart.de - Página inicial
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An empirical evaluation of using large language models for automated unit test generation
M Schäfer, S Nadi, A Eghbali, F Tip
IEEE Transactions on Software Engineering, 2023
238*2023
CrystalBLEU: precisely and efficiently measuring the similarity of code
A Eghbali, M Pradel
Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022
622022
No Strings Attached: An Empirical Study of String-related Software Bugs
A Eghbali, M Pradel
35th IEEE/ACM International Conference on Automated Software Engineering …, 2020
212020
DynaPyt: a dynamic analysis framework for Python
A Eghbali, M Pradel
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
202022
De-Hallucinator: Mitigating LLM Hallucinations in Code Generation Tasks via Iterative Grounding
A Eghbali, M Pradel
arXiv preprint arXiv:2401.01701, 2024
14*2024
12 Angry miners
A Eghbali, R Wattenhofer
Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS …, 2019
5*2019
An Almost Tight RMR Lower Bound for Abortable Test-And-Set
A Eghbali, P Woelfel
32nd International Symposium on Distributed Computing (DISC 2018), 2018
12018
An Almost Tight Lower Bound for Abortable Leader Election
A Eghbali
2018
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Artigos 1–8