Personalized Fuzzing: A Case Study with the FANDANGO Fuzzer on a GNSS Module (Short Paper)

Created by W.Langdon from gp-bibliography.bib Revision:1.8670

@InProceedings{DBLP:conf/issta/NeuhausAZ25,

• author = "Stephan Neuhaus and Jose Antonio {Zamudio Amaya} and Andreas Zeller",
• title = "Personalized Fuzzing: {A} Case Study with the {FANDANGO} Fuzzer on a {GNSS} Module (Short Paper)",
• booktitle = "Proceedings of the 34th {ACM} {SIGSOFT} International Symposium on Software Testing and Analysis, {ISSTA} Companion 2025, Clarion Hotel Trondheim, Trondheim, Norway, June 25-28, 2025",
• year = "2025",
• editor = "Mike Papadakis and Myra B. Cohen and Paolo Tonella",
• pages = "86--91",
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, SBFT",
• timestamp = "Sun, 06 Jul 2025 13:23:32 +0200",
• biburl = "https://dblp.org/rec/conf/issta/NeuhausAZ25.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• URL = "https://doi.org/10.1145/3713081.3731722",
• DOI = "10.1145/3713081.3731722",
• size = "6 page",
• abstract = "we demonstrate the flexibility and effectiveness of FANDANGO, a state-of-the-art grammar-based fuzzer that incorporates constraint solving to produce 100% valid inputs while also guiding the generation process toward desired edge cases. Using a GNSS (Global Navigation Satellite System) module as a case study, we showcase how FANDANGO enables the specification of constraints to explore the module's behavior. Our experiments highlight FANDANGO's ability to generate targeted test cases that expose potential weaknesses.",

}

Genetic Programming entries for Stephan Neuhaus Jose Antonio Zamudio Amaya Andreas Zeller

Citations