Saved in:
| Main Authors: | Caliandro, Pierciro, Ciccaglione, Matteo, Pellegrini, Alessandro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.01617 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tahr: The Generative Attribute Grammar Framework
by: Ciccaglione, Matteo, et al.
Published: (2025)
by: Ciccaglione, Matteo, et al.
Published: (2025)
When Fuzzing Meets LLMs: Challenges and Opportunities
by: Jiang, Yu, et al.
Published: (2024)
by: Jiang, Yu, et al.
Published: (2024)
Fuzzing-based Mutation Testing of C/C++ Software in Cyber-Physical Systems
by: Lee, Jaekwon, et al.
Published: (2025)
by: Lee, Jaekwon, et al.
Published: (2025)
BASFuzz: Towards Robustness Evaluation of LLM-based NLP Software via Automated Fuzz Testing
by: Xiao, Mingxuan, et al.
Published: (2025)
by: Xiao, Mingxuan, et al.
Published: (2025)
GraphFuzz: Automated Testing of Graph Algorithm Implementations with Differential Fuzzing and Lightweight Feedback
by: Yan, Wenqi, et al.
Published: (2025)
by: Yan, Wenqi, et al.
Published: (2025)
MOTIF: A tool for Mutation Testing with Fuzzing
by: Lee, Jaekwon, et al.
Published: (2024)
by: Lee, Jaekwon, et al.
Published: (2024)
Fuzz4All: Universal Fuzzing with Large Language Models
by: Xia, Chunqiu Steven, et al.
Published: (2023)
by: Xia, Chunqiu Steven, et al.
Published: (2023)
Enhancing Fuzz Testing Efficiency through Automated Fuzz Target Generation
by: Tran, Chi Thien
Published: (2026)
by: Tran, Chi Thien
Published: (2026)
Data-driven Test Generation for Fuzzing AI Compiler
by: Shen, Qingchao
Published: (2026)
by: Shen, Qingchao
Published: (2026)
Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler
by: Georgescu, Calin, et al.
Published: (2024)
by: Georgescu, Calin, et al.
Published: (2024)
Learning-Guided Fuzzing for Testing Stateful SDN Controllers
by: Ollando, Raphaël, et al.
Published: (2024)
by: Ollando, Raphaël, et al.
Published: (2024)
Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software
by: Davis, Matthew, et al.
Published: (2025)
by: Davis, Matthew, et al.
Published: (2025)
FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation
by: He, Yifeng, et al.
Published: (2024)
by: He, Yifeng, et al.
Published: (2024)
A Tale of Two DL Cities: When Library Tests Meet Compiler
by: Shen, Qingchao, et al.
Published: (2024)
by: Shen, Qingchao, et al.
Published: (2024)
Leveraging SystemC-TLM-based Virtual Prototypes for Embedded Software Fuzzing
by: Ghinami, Chiara, et al.
Published: (2025)
by: Ghinami, Chiara, et al.
Published: (2025)
Approximate Bayesian Computation As An Informed Fuzzing-Inference System
by: Vaisnor, Chris
Published: (2024)
by: Vaisnor, Chris
Published: (2024)
XMutant: XAI-based Fuzzing for Deep Learning Systems
by: Chen, Xingcheng, et al.
Published: (2025)
by: Chen, Xingcheng, et al.
Published: (2025)
MicroFuzz: An Efficient Fuzzing Framework for Microservices
by: Di, Peng, et al.
Published: (2024)
by: Di, Peng, et al.
Published: (2024)
S$^2$F: Principled Hybrid Testing With Fuzzing, Symbolic Execution, and Sampling
by: Wang, Lianjing, et al.
Published: (2026)
by: Wang, Lianjing, et al.
Published: (2026)
ToolFuzz -- Automated Agent Tool Testing
by: Milev, Ivan, et al.
Published: (2025)
by: Milev, Ivan, et al.
Published: (2025)
When Automated Program Repair Meets Regression Testing -- An Extensive Study on 2 Million Patches
by: Lou, Yiling, et al.
Published: (2021)
by: Lou, Yiling, et al.
Published: (2021)
Fuzz Smarter, Not Harder: Towards Greener Fuzzing with GreenAFL
by: Ercevik, Ayse Irmak, et al.
Published: (2025)
by: Ercevik, Ayse Irmak, et al.
Published: (2025)
WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing
by: Rooijakkers, Thomas, et al.
Published: (2025)
by: Rooijakkers, Thomas, et al.
Published: (2025)
Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR
by: Sun, Zeyu, et al.
Published: (2025)
by: Sun, Zeyu, et al.
Published: (2025)
Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
by: Qin, Feiran, et al.
Published: (2025)
by: Qin, Feiran, et al.
Published: (2025)
Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems
by: Pham, Tri Minh Triet, et al.
Published: (2024)
by: Pham, Tri Minh Triet, et al.
Published: (2024)
Beyond the 'Diff': Addressing Agentic Entropy in Agentic Software Development
by: Casserini, Matteo, et al.
Published: (2026)
by: Casserini, Matteo, et al.
Published: (2026)
TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code
by: Li, Siyuan, et al.
Published: (2024)
by: Li, Siyuan, et al.
Published: (2024)
SCOPE: Performance Testing for Serverless Computing
by: Wen, Jinfeng, et al.
Published: (2023)
by: Wen, Jinfeng, et al.
Published: (2023)
Program Environment Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)
by: Meng, Ruijie, et al.
Published: (2024)
Socialz: Multi-Feature Social Fuzz Testing
by: Zanartu, Francisco, et al.
Published: (2023)
by: Zanartu, Francisco, et al.
Published: (2023)
SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems
by: Yang, Huiwen, et al.
Published: (2024)
by: Yang, Huiwen, et al.
Published: (2024)
Prompt Fuzzing for Fuzz Driver Generation
by: Lyu, Yunlong, et al.
Published: (2023)
by: Lyu, Yunlong, et al.
Published: (2023)
Factors Influencing Performance of Students in Software Automated Test Tools Course
by: Haldar, Susmita, et al.
Published: (2024)
by: Haldar, Susmita, et al.
Published: (2024)
BiFuzz: A Two-Stage Fuzzing Tool for Open-World Video Games
by: Kato, Yusaku, et al.
Published: (2025)
by: Kato, Yusaku, et al.
Published: (2025)
Hybrid Work in Agile Software Development: Recurring Meetings
by: Christensen, Emily Laue, et al.
Published: (2025)
by: Christensen, Emily Laue, et al.
Published: (2025)
MPI Implementation Profiling for Better Application Performance
by: Shipley, Riley, et al.
Published: (2024)
by: Shipley, Riley, et al.
Published: (2024)
The Impact of Software Testing with Quantum Optimization Meets Machine Learning
by: Bandarupalli, Gopichand
Published: (2025)
by: Bandarupalli, Gopichand
Published: (2025)
WFC/WFD: Web Fuzzing Commons, Dataset and Guidelines to Support Experimentation in REST API Fuzzing
by: Sahin, Omur, et al.
Published: (2025)
by: Sahin, Omur, et al.
Published: (2025)
Large-Scale Empirical Analysis of Continuous Fuzzing: Insights from 1 Million Fuzzing Sessions
by: Shirai, Tatsuya, et al.
Published: (2025)
by: Shirai, Tatsuya, et al.
Published: (2025)
Similar Items
-
Tahr: The Generative Attribute Grammar Framework
by: Ciccaglione, Matteo, et al.
Published: (2025) -
When Fuzzing Meets LLMs: Challenges and Opportunities
by: Jiang, Yu, et al.
Published: (2024) -
Fuzzing-based Mutation Testing of C/C++ Software in Cyber-Physical Systems
by: Lee, Jaekwon, et al.
Published: (2025) -
BASFuzz: Towards Robustness Evaluation of LLM-based NLP Software via Automated Fuzz Testing
by: Xiao, Mingxuan, et al.
Published: (2025) -
GraphFuzz: Automated Testing of Graph Algorithm Implementations with Differential Fuzzing and Lightweight Feedback
by: Yan, Wenqi, et al.
Published: (2025)