"Seed Selection for Successful Fuzzing" supplementary data

Supplementary data for the ISSTA 2021 paper "Seed Selection for Successful Fuzzing".
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

Download data files

Number of files: 6,909

Size: 49.5 GB

Identifier: anudc:6106

Status: Published
Published to:
  • Australian National University
  • Australian National Data Service
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