Imam Nur Bani Yusuf

Orcid: 0000-0003-0900-5230

According to our database1, Imam Nur Bani Yusuf authored at least 14 papers between 2022 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
RustMap: Towards Project-Scale C-to-Rust Migration via Program Analysis and LLM.
CoRR, March, 2025

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Isolating Compiler Bugs by Generating Effective Witness Programs With Large Language Models.
IEEE Trans. Software Eng., July, 2024

Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs.
CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
CoRR, 2024

Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection.
CoRR, 2024

2023
LLM4CBI: Taming LLMs to Generate Effective Test Programs for Compiler Bug Isolation.
CoRR, 2023

Automating Arduino Programming: From Hardware Setups to Sample Source Code Generation.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

ArduinoProg: Towards Automating Arduino Programming.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Towards Automated Embedded Systems Programming.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems.
IEEE Trans. Software Eng., 2022

RecipeGen++: an automated trigger action programs generator.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Accurate generation of trigger-action programs with domain-adapted sequence-to-sequence learning.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

On the effectiveness of pretrained models for API learning.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022


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