Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering

Authors

Dan Hendrycks
Simone Aonzo (ORCID: https://orcid.org/0000-0001-9547-3502)
Wil Gibbs
Eleonora Losiouk (ORCID: https://orcid.org/0000-0002-2315-7823)
Ananta Soneji (ORCID: https://orcid.org/0000-0002-3045-5183)
Samuele Doria (ORCID: https://orcid.org/0009-0005-2514-8786)
Adam Doupé
Zion Leonahenahe Basque
Ruoyu Wang

Institutions

University of Padua (IT)
EURECOM (FR)
Arizona State University (US)

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2026-02-23
DOI: https://doi.org/10.14722/ndss.2026.240380
Primary Topic: Software Engineering Techniques and Practices
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Science Foundation
U.S. Department of Defense
U.S. Department of the Interior
European Commission
Agence Nationale de la Recherche
Defense Advanced Research Projects Agency
Advanced Research Projects Agency
U.S. Navy
Naval Information Warfare Center Pacific

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article

Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering

Dan Hendrycks, Simone Aonzo, Wil Gibbs, Eleonora Losiouk et al.

Feb 23, 2026

SPIRE - Sciences Po Institutional REpository

Software Engineering Techniques and Practices

article

Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering

Dan Hendrycks, Simone Aonzo, Wil Gibbs, Eleonora Losiouk, Ananta Soneji, Samuele Doria, Adam Doupé, Zion Leonahenahe Basque, Ruoyu Wang

February 23, 2026article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

University of Padua (IT), EURECOM (FR), Arizona State University (US)

National Science Foundation, U.S. Department of Defense, U.S. Department of the Interior, European Commission, Agence Nationale de la Recherche, Defense Advanced Research Projects Agency, Advanced Research Projects Agency, U.S. Navy, Naval Information Warfare Center Pacific

Openalex Percentile: Top 57%

Software Engineering Techniques and Practices

DOI Open Access PDF OpenAlex

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