Copertina

reAnalyst: Scalable Annotation of Reverse Engineering Activities

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Tab, Taylor, Claire, Coppens, Bart, Mebane, Waleed, Collberg, Christian, De Sutter, Bjorn
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Empirical Studies on Adversarial Reverse Engineering with Students
di: Tab, et al.
Pubblicazione: (2026)

A New Framework of Software Obfuscation Evaluation Criteria
di: De Sutter, Bjorn
Pubblicazione: (2025)

A Context-Sensitive, Outlier-Based Static Analysis to Find Kernel Race Conditions
di: Dossche, Niels, et al.
Pubblicazione: (2024)

Equality Saturation for Optimizing High-Level Julia IR
di: Merckx, Jules, et al.
Pubblicazione: (2025)

Automatic Selection of Protections to Mitigate Risks Against Software Applications
di: Canavese, Daniele, et al.
Pubblicazione: (2025)

How LLMs Aid in UML Modeling: An Exploratory Study with Novice Analysts
di: Wang, Beian, et al.
Pubblicazione: (2024)

BPMN to Smart Contract by Business Analyst
di: Liu, C. G., et al.
Pubblicazione: (2025)

Effect of Requirements Analyst Experience on Elicitation Effectiveness: A Family of Empirical Studies
di: Aranda, Alejandrina M., et al.
Pubblicazione: (2024)

Beyond C/C++: Probabilistic and LLM Methods for Next-Generation Software Reverse Engineering
di: Zhuo, Zhuo, et al.
Pubblicazione: (2025)

Semantic Reverse Engineering Legacy Software Applications with ChatGPT, Gemini AI, and Claude AI
di: Mancas, Christian, et al.
Pubblicazione: (2026)

A compendium and evaluation of taxonomy quality attributes
di: Unterkalmsteiner, Michael, et al.
Pubblicazione: (2024)

Verificarlo CI: continuous integration for numerical optimization and debugging
di: Delval, Aurélien, et al.
Pubblicazione: (2024)

An approach for performance requirements verification and test environments generation
di: Abdeen, Waleed, et al.
Pubblicazione: (2024)

Auxiliary Artifacts in Requirements Traceability: A Systematic Mapping Study
di: Abdeen, Waleed, et al.
Pubblicazione: (2025)

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis
di: Rasheed, Zeeshan, et al.
Pubblicazione: (2024)

Understanding the Influence of Motivation on Requirements Engineering-related Activities
di: Hidellaarachchi, Dulaji, et al.
Pubblicazione: (2023)

Automatic, Expressive, and Scalable Fuzzing with Stitching
di: Green, Harrison, et al.
Pubblicazione: (2026)

Reverse Engineering User Stories from Code using Large Language Models
di: Ouf, Mohamed, et al.
Pubblicazione: (2025)

CrackMeBench: Binary Reverse Engineering for Agents
di: David, Isaac, et al.
Pubblicazione: (2026)

SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation
di: Zhao, Dehai, et al.
Pubblicazione: (2025)

Challenges of Requirements Communication and Digital Assets Verification in Infrastructure Projects
di: Abdeen, Waleed, et al.
Pubblicazione: (2025)

MBTModelGenerator: Automated Reverse Engineering of Test Models from Clickstream Data for Model-Based Testing of Web Applications
di: Garousi, Vahid, et al.
Pubblicazione: (2025)

Future of Software Engineering Research: The SIGSOFT Perspective
di: Di Penta, Massimiliano, et al.
Pubblicazione: (2026)

BinPRE: Enhancing Field Inference in Binary Analysis Based Protocol Reverse Engineering
di: Jiang, Jiayi, et al.
Pubblicazione: (2024)

Understanding and Detecting Annotation-Induced Faults of Static Analyzers
di: Zhang, Huaien, et al.
Pubblicazione: (2024)

Green Prompt Engineering: Investigating the Energy Impact of Prompt Design in Software Engineering
di: De Martino, Vincenzo, et al.
Pubblicazione: (2025)

Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search
di: Song, Leo, et al.
Pubblicazione: (2024)

Decompiling Rust: An Empirical Study of Compiler Optimizations and Reverse Engineering Challenges
di: Zhou, Zixu
Pubblicazione: (2025)

Language Models to Support Multi-Label Classification of Industrial Data
di: Abdeen, Waleed, et al.
Pubblicazione: (2025)

Empirical Evaluation of Taxonomic Trace Links: A Case Study
di: Abdeen, Waleed, et al.
Pubblicazione: (2026)

Engineering Digital Systems for Humanity: Challenges and Opportunities
di: De Sanctis, Martina, et al.
Pubblicazione: (2024)

Reusing Deep Learning Models: Challenges and Directions in Software Engineering
di: Davis, James C., et al.
Pubblicazione: (2024)

OLAF: Towards Robust LLM-Based Annotation Framework in Empirical Software Engineering
di: Imran, Mia Mohammad, et al.
Pubblicazione: (2025)

Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering
di: Pordanesh, Saman, et al.
Pubblicazione: (2024)

Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures
di: Lacroix, Nicolas, et al.
Pubblicazione: (2026)

AI Agent for Reverse-Engineering Legacy Finite-Difference Code and Translating to Devito
di: Hou, Yinghan, et al.
Pubblicazione: (2026)

Understanding by Reconstruction: Reversing the Software Development Process for LLM Pretraining
di: Zeng, Zhiyuan, et al.
Pubblicazione: (2026)

Explainable Fault Localization for Programming Assignments via LLM-Guided Annotation
di: Liu, Fang, et al.
Pubblicazione: (2025)

Multi-Label Requirements Classification with Large Taxonomies
di: Abdeen, Waleed, et al.
Pubblicazione: (2024)

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing
di: Hanmongkolchai, Manatsawin
Pubblicazione: (2025)