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Muhammad Asaduzzaman

Observed names: Asaduzzaman, Muhammad, Muhammad Asaduzzman
ORCID: 0000-0003-1420-105X
Observed ORCID: 0000-0003-1420-105X
OpenAlex ID: A5081668559
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets Using LLMs
2024 · Azmain Kabir, Shaowei Wang, et al. · ACM Transactions on Software Engineering and Methodology · 7
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On the Executability of R Markdown Files
2024 · Md Anaytul Islam, Muhammad Asaduzzman, et al. · International Conference on Mining Software Repositories (MSR) · 3
Detecting Argument-Swap Bugs Using Context-Enhanced Code Representations
2026 · Das, Subrata, Aman, Ali, et al. · arXiv (Cornell University)
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SMTpip: Interpreter-Aware SMT-Based Dependency Conflict Resolution for Restoring Python Source-Code Executability
2026 · Sakib, Sadman Jashim, Asaduzzaman, Muhammad, et al. · arXiv (Cornell University)
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Evaluating LLMs on Java Code Snippet Adaptation Using a Mutation-Injection Framework
2026 · Aman, Ali, Asaduzzaman, Muhammad, et al. · arXiv (Cornell University)
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SLICEFORMER: Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding
2026 · Association for Computational Linguistics 2026, Asaduzzaman, Muhammad, et al. · Underline Science Inc.
Think Harder and Don't Overlook Your Options: Revisiting Issue-Commit Linking with LLM-Assisted Retrieval
2026 · Morgan, Cole, Asaduzzaman, Muhammad, et al. · arXiv (Cornell University)
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RAG-Reflect: Agentic Retrieval-Augmented Generation with Reflections for Comment-Driven Code Maintenance on Stack Overflow
2026 · Shanto, Mehedi Hasan, Asaduzzaman, Muhammad, et al. · arXiv (Cornell University)
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How Do Agentic AI Systems Address Performance Optimizations? A BERTopic-Based Analysis of Pull Requests
2026 · Md Nahidul Islam Opu, Shahidul Islam, et al. · International Conference on Mining Software Repositories (MSR)
Typify: A Lightweight Usage-driven Static Analyzer for Precise Python Type Inference
2026 · Ali Aman, Muhammad Asaduzzaman, et al. · IEEE/ACM International Conference on Program Comprehension (ICPC)
When LLMs Lag Behind: Knowledge Conflicts from Evolving APIs in Code Generation
2026 · Ashik, Ahmed Nusayer, Wang, Shaowei, et al. · arXiv (Cornell University)
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Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding
2026 · He, Pengfei, Wang, Shaowei, et al. · arXiv (Cornell University)
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Typify: A Lightweight Usage-driven Static Analyzer for Precise Python Type Inference
2026 · Aman, Ali, Asaduzzaman, Muhammad, et al. · arXiv (Cornell University)
Typify: A Lightweight Usage-driven Static Analyzer for Precise Python Type Inference
2026 · Aman, Ali, Asaduzzaman, Muhammad, et al. · arXiv (Cornell University)
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SLICEFORMER: Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding
2026 · Pengfei He, Shaowei Wang, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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BETTER-Edge: Buffer-Enhanced Task Transfer for Efficient Utilization in Edge--Cloud
2026 · Jenish Modi, A. B. M. Bodrul Alam Alam, et al. · SSRN Electronic Journal
Do Contrastive Learning Design Choices Matter for Automated Patch Correctness Assessment?
2026 · Mehedi Hasan Shanto, Muhammad Asaduzzaman, et al. · SSRN Electronic Journal
PyHealer: Agentic Self-Repair for Python Program Execution
2026 · Sadman Jashim Sakib, Muhammad Asaduzzaman, et al. · SSRN Electronic Journal
How Do Agentic AI Systems Address Performance Optimizations? A BERTopic-Based Analysis of Pull Requests
2025 · Opu, Md Nahidul Islam, Islam, Shahidul, et al. · arXiv (Cornell University)
How Do Agentic AI Systems Address Performance Optimizations? A BERTopic-Based Analysis of Pull Requests
2025 · Opu, Md Nahidul Islam, Islam, Shahidul, et al. · arXiv (Cornell University)
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Performance Optimizations by AI Agents
2025 · Opu, Md Nahidul Islam, Islam, Shahidul, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 22
Citation count: 10
H-index: 2
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