"Seed Selection for Successful Fuzzing" supplementary data

Type	collection
Title	"Seed Selection for Successful Fuzzing" supplementary data
Collection Type	Dataset
Access Privileges	Research School of Computer Science
DOI - Digital Object Identifier	10.25911/60d3f734b722a
Metadata Language	English
Data Language	English
Full Description	Supplementary data for the ISSTA 2021 paper "Seed Selection for Successful Fuzzing".
Contact Email	u3818933@anu.edu.au
Contact Address	Level 5 Hanna Neumann Building 145 Australian National University
Principal Investigator	Adrian Herrera
Supervisors	Antony Hosking
Fields of Research	080303 - Computer System Security
Keywords	fuzzing corpus minimization software testing
Type of Research Activity	Applied Research
Date of data creation	2020
Year of data publication	2021
Publisher for Citation	ANU Data Commons, The Australian National University
Access Rights	Open Access under CC BY 4.0 License
Access Rights Type	Open
Rights held in and over the data	This work is licensed under CC BY 4.0
Licence Type	CC-BY - Attribution (Version 4)
Retention Period	Indefinitely
Data Size	20.8 GB
Data Management Plan	No

Status: Published
Published To:
- Australian National University
- Australian National Data Service
Identifier: anudc:6106