Cover Image

The Promise and Pitfalls of WebAssembly: Perspectives from the Industry

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Ningyu, Cao, Shangtong, Wang, Haoyu, Guo, Yao, Luo, Xiapu
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SeeWasm: An Efficient and Fully-Functional Symbolic Execution Engine for WebAssembly Binaries
by: He, Ningyu, et al.
Published: (2024)

Research on WebAssembly Runtimes: A Survey
by: Zhang, Yixuan, et al.
Published: (2024)

WaDec: Decompiling WebAssembly Using Large Language Model
by: She, Xinyu, et al.
Published: (2024)

Debugging WebAssembly? Put some Whamm on it!
by: Gilbert, Elizabeth, et al.
Published: (2025)

Issues and Their Causes in WebAssembly Applications: An Empirical Study
by: Waseem, Muhammad, et al.
Published: (2023)

All Your Tokens are Belong to Us: Demystifying Address Verification Vulnerabilities in Solidity Smart Contracts
by: Sun, Tianle, et al.
Published: (2024)

WASM-MUTATE: Fast and Effective Binary Diversification for WebAssembly
by: Cabrera-Arteaga, Javier, et al.
Published: (2023)

Empowering WebAssembly with Thin Kernel Interfaces
by: Ramesh, Arjun, et al.
Published: (2023)

Is This the Same Code? A Comprehensive Study of Decompilation Techniques for WebAssembly Binaries
by: Wu, Wei-Cheng, et al.
Published: (2024)

Debugging Performance Issues in WebAssembly Runtimes via Mutation-based Inference
by: Zeng, Ruiying, et al.
Published: (2026)

Distinguishability-guided Test Program Generation for WebAssembly Runtime Performance Testing
by: Jiang, Shuyao, et al.
Published: (2024)

Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
by: Xia, Yifan, et al.
Published: (2023)

Reusing Legacy Code in WebAssembly: Key Challenges of Cross-Compilation and Code Semantics Preservation
by: Baradaran, Sara, et al.
Published: (2024)

Extending Lifetime of Embedded Systems by WebAssembly-based Functional Extensions Including Drivers
by: Seidler, Maximilian, et al.
Published: (2025)

Execution-Aware Program Reduction for WebAssembly via Record and Replay
by: Baek, Doehyun, et al.
Published: (2025)

Cyber-physical WebAssembly: Secure Hardware Interfaces and Pluggable Drivers
by: Van Kenhove, Michiel, et al.
Published: (2024)

Building Call Graph of WebAssembly Programs via Abstract Semantics
by: Paccamiccio, Mattia, et al.
Published: (2024)

Multi-modal Learning for WebAssembly Reverse Engineering
by: Huang, Hanxian, et al.
Published: (2024)

eWAPA: An eBPF-based WASI Performance Analysis Framework for WebAssembly Runtimes
by: Mao, Chenxi, et al.
Published: (2024)

StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
by: Fang, Weike, et al.
Published: (2024)

SliceLocator: Locating Vulnerable Statements with Graph-based Detectors
by: Cheng, Baijun, et al.
Published: (2024)

An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives
by: Guo, Hanyang, et al.
Published: (2024)

WasmWalker: Path-based Code Representations for Improved WebAssembly Program Analysis
by: Shirzad, Mohammad Robati, et al.
Published: (2024)

RiskTagger: An LLM-based Agent for Automatic Annotation of Web3 Crypto Money Laundering Behaviors
by: Lin, Dan, et al.
Published: (2025)

Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation
by: Zhou, Zhichao, et al.
Published: (2023)

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
by: Liu, Zhijie, et al.
Published: (2023)

"Should I Give Up Now?" Investigating LLM Pitfalls in Software Engineering
by: Tie, Jiessie, et al.
Published: (2024)

A Survey on Web Testing: On the Rise of AI and Applications in Industry
by: Kertusha, Iva, et al.
Published: (2025)

OpDiffer: LLM-Assisted Opcode-Level Differential Testing of Ethereum Virtual Machine
by: Ma, Jie, et al.
Published: (2025)

Towards an Architectural Perspective for Sustainability: Bundle the Needs from Industry
by: Funke, Markus, et al.
Published: (2025)

VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses
by: Nong, Yu, et al.
Published: (2023)

Are We There Yet? Unraveling the State-of-the-Art Smart Contract Fuzzers
by: Wu, Shuohan, et al.
Published: (2024)

Demystifying the DAO Governance Process
by: Ma, Junjie, et al.
Published: (2024)

Large Language Models for Software Engineering: A Systematic Literature Review
by: Hou, Xinyi, et al.
Published: (2023)

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions
by: Wang, Chenyu, et al.
Published: (2024)

Identifying Video Game Debugging Bottlenecks: An Industry Perspective
by: Gomez, Carlos Pinto, et al.
Published: (2025)

LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models
by: Liu, Zhijie, et al.
Published: (2024)

Responsible AI in the Software Industry: A Practitioner-Centered Perspective
by: Leça, Matheus de Morais, et al.
Published: (2024)

PromiseTune: Unveiling Causally Promising and Explainable Configuration Tuning
by: Chen, Pengzhou, et al.
Published: (2025)

FDI: Attack Neural Code Generation Systems through User Feedback Channel
by: Sun, Zhensu, et al.
Published: (2024)