We make all the data, analysis, and results of the conference (ICSE 2023) paper "Reachable Coverage: Estimating Saturation in Fuzzing" openly accessible. We have incorporated each data pre-processing and analysis step into a single R notebook, analysis.ipynb which can be found under the directory named ./scripts. The ./data directory contains all the experimental data we gathered by running the state-of-the-art fuzzer AFL++ on various candidate programs. We also use open-source data from well-known platforms such as Fuzzbench. Please refer to README.md for extensive details about navigating the repository and reproducing the results we presented in our paper. We facilitate the reproduction of our results and encourage continuous improvemen...
Fuzzing is an effective software testing method that discovers bugs by feeding target applications w...
Fuzzing is an approach to software testing where the system being tested is bombarded with test case...
Evaluation Data for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022...
We make all the data, analysis, and results of the conference (ICSE 2023) paper "Reachable Coverage:...
Fuzzing is an effective software testing method that discovers bugs by feeding target applications w...
This repository accompanies the research conducted as part of the thesis titled "Quantitative Decisi...
This is the artifact for the paper "Crossover in Parametric Fuzzing" published at the International ...
Data and Analysis for "On the Reliability of Coverage-based Fuzzer Benchmarking" ## Cite @inproce...
The artifact goes through the 3 main steps of evaluating fuzzers with FixReverter and RevBugBench: F...
Today, the exploitation of vulnerabilities which exists in every software program is still prevalent...
This article deals with fuzz testing (fuzzing), a software testing and vulnerability searching techn...
Coverage-guided greybox fuzzing aims at generating random test inputs to trigger vulnerabilities in ...
Fuzzing is a testing technique to discover unknown vulnerabilities in software. When applying fuzzin...
International audienceFuzzing is an effective software testing method that discovers bugs by feeding...
The Databases which contain the results of the experiments done for the paper: "Systematic Assessmen...
Fuzzing is an effective software testing method that discovers bugs by feeding target applications w...
Fuzzing is an approach to software testing where the system being tested is bombarded with test case...
Evaluation Data for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022...
We make all the data, analysis, and results of the conference (ICSE 2023) paper "Reachable Coverage:...
Fuzzing is an effective software testing method that discovers bugs by feeding target applications w...
This repository accompanies the research conducted as part of the thesis titled "Quantitative Decisi...
This is the artifact for the paper "Crossover in Parametric Fuzzing" published at the International ...
Data and Analysis for "On the Reliability of Coverage-based Fuzzer Benchmarking" ## Cite @inproce...
The artifact goes through the 3 main steps of evaluating fuzzers with FixReverter and RevBugBench: F...
Today, the exploitation of vulnerabilities which exists in every software program is still prevalent...
This article deals with fuzz testing (fuzzing), a software testing and vulnerability searching techn...
Coverage-guided greybox fuzzing aims at generating random test inputs to trigger vulnerabilities in ...
Fuzzing is a testing technique to discover unknown vulnerabilities in software. When applying fuzzin...
International audienceFuzzing is an effective software testing method that discovers bugs by feeding...
The Databases which contain the results of the experiments done for the paper: "Systematic Assessmen...
Fuzzing is an effective software testing method that discovers bugs by feeding target applications w...
Fuzzing is an approach to software testing where the system being tested is bombarded with test case...
Evaluation Data for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022...