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Nadi, Sarah
99  Ergebnisse:
Personensuche X
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1

An Empirical Evaluation of Using Large Language Models for ..:

Schäfer, Max ; Nadi, Sarah ; Eghbali, Aryaz.
IEEE Transactions on Software Engineering.  50 (2024)  1 - p. 85-105 , 2024
Link: https://doi.org/10.1109/..
 
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2

Analyzing Developer Use of ChatGPT Generated Code in Open S..:

, In: Proceedings of the 21st International Conference on Mining Software Repositories,
Grewal, Balreet ; Lu, Wentao ; Nadi, Sarah. - p. 157-161 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

JTestMigBench and JTestMigTax: A benchmark and taxonomy for..:

, In: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER),
Jha, Ajay Kumar ; Islam, Mohayeminul ; Nadi, Sarah - p. 713-717 , 2023
Link: https://doi.org/10.1109/..
 
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4

Operation-Based Refactoring-Aware Merging: An Empirical Eva..:

Ellis, Max ; Nadi, Sarah ; Dig, Danny
IEEE Transactions on Software Engineering.  49 (2023)  4 - p. 2698-2721 , 2023
Link: https://doi.org/10.1109/..
 
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5

Securing Your Crypto-API Usage Through Tool Support - A Usa..:

, In: 2023 IEEE Secure Development Conference (SecDev),
Kruger, Stefan ; Reif, Michael ; Wickert, Anna-Katharina... - p. 14-25 , 2023
Link: https://doi.org/10.1109/..
 
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6

An Empirical Study on Bugs Inside PyTorch: A Replication St..:

, In: 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME),
Yin Ho, Sharon Chee ; Majdinasab, Vahid ; Islam, Mohayeminul... - p. 220-231 , 2023
Link: https://doi.org/10.1109/..
 
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7

PyMigBench: A Benchmark for Python Library Migration:

, In: 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR),
Islam, Mohayeminul ; Jha, Ajay Kumar ; Nadi, Sarah. - p. 511-515 , 2023
Link: https://doi.org/10.1109/..
 
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8

Evaluating Software Documentation Quality:

, In: 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR),
Tang, Henry ; Nadi, Sarah - p. 67-78 , 2023
Link: https://doi.org/10.1109/..
 
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9

Artificial Neural Networks for Downbeat Estimation and Vary..:

, In: Communications in Computer and Information Science; Neural Information Processing,
Nadi, Sarah ; Yao, Jianguo - p. 39-51 , 2023
Link: https://doi.org/10.1007/..
 
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10

Selecting third-party libraries: the data scientist's persp..:

Nadi, Sarah ; Sakr, Nourhan
Empirical Software Engineering.  28 (2022)  1 - p. , 2022
Link: https://doi.org/10.1007/..
 
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11

Does this apply to me? : an empirical study of technical..:

, In: Proceedings of the 19th International Conference on Mining Software Repositories,
Galappaththi, Akalanka ; Nadi, Sarah ; Treude, Christoph - p. 23-34 , 2022
Link: https://dl.acm.org/doi/1..
 
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12

An empirical evaluation of GitHub copilot's code suggestion:

, In: Proceedings of the 19th International Conference on Mining Software Repositories,
Nguyen, Nhan ; Nadi, Sarah - p. 1-5 , 2022
Link: https://dl.acm.org/doi/1..
 
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13

Reuse and maintenance practices among divergent forks in th..:

Businge, John ; Openja, Moses ; Nadi, Sarah.
Empirical Software Engineering.  27 (2022)  2 - p. , 2022
Link: https://doi.org/10.1007/..
 
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14

Does This Apply to Me? An Empirical Study of Technical Cont..:

, In: 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR),
Galappaththi, Akalanka ; Nadi, Sarah ; Treude, Christoph - p. 23-34 , 2022
Link: https://doi.org/10.1145/..
 
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15

An Empirical Evaluation of GitHub Copilot's Code Suggestion:

, In: 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR),
Nguyen, Nhan ; Nadi, Sarah - p. 1-5 , 2022
Link: https://doi.org/10.1145/..
 
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