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Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering | Synapse
March 2, 2026
Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering
ZB
Zion Leonahenahe Basque
SD
Samuele Doria
AS
Ananta Soneji
Arizona State University
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Key Points
The study aims to explore how humans and large language models (LLMs) work together during software reverse engineering tasks.
Conducted empirical analysis of human-LLM interactions.
Evaluated performance in software reverse engineering.
Assessed collaboration dynamics between human users and LLMs.
Demonstrated enhanced efficiency in reverse engineering tasks when using LLM assistance.
Highlighted positive impacts on problem-solving speed and accuracy.
Noted increased user satisfaction when collaborating with LLMs.
Abstract
International audience
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Basque et al. (Mon,) studied this question.
synapsesocial.com/papers/69a52e56f1e85e5c73bf1eb3
https://doi.org/https://doi.org/10.14722/ndss.2026.240380
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