Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jiradet Ounjai

dblp:351/6711 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Software testing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing › fuzzing
fuzzer benchmarking
0.712023
Green Fuzzer Benchmarking · ISSTA 2023
Software testing
fuzzing
0.712023
Green Fuzzer Benchmarking · ISSTA 2023
Software testing › fuzzing
coverage-guided fuzzing
0.212023
Green Fuzzer Benchmarking · ISSTA 2023

Methods — techniques the papers use, named apart from their topics

benchmarking platform · 0.7
YearPublicationVenuePosition
2023 Green Fuzzer Benchmarking
abstract
Over the last decade, fuzzing has been increasingly gaining traction due to its effectiveness in finding bugs. Nevertheless, fuzzer evaluations have been challenging during this time, mainly due to lack of standardized benchmarking. Aiming to alleviate this issue, in 2020, Google released FuzzBench, an open-source benchmarking platform, that is widely used for accurate fuzzer benchmarking.
Jiradet Ounjai, Valentin Wüstholz, Maria Christakis
ISSTA1