18 citations · 36 across the 7 of their papers we have counts for
9 papers
How Much is Unseen Depends Chiefly on Information About the Seen
Seongmin Lee, Marcel Böhme
The missing mass refers to the proportion of data points in an unknown population of classifier inputs that belong to classes not present in the classifier's training data, which i…
SBFT Tool Competition 2023 -- Fuzzing Track
Dongge Liu, Jonathan Metzman, Marcel Böhme +2
This report outlines the objectives, methodology, challenges, and results of the first Fuzzing Competition held at SBFT 2023. The competition utilized FuzzBench to assess the code-…
Finding Bug-Inducing Program Environments
Zahra Mirzamomen, Marcel Böhme
Some bugs cannot be exposed by program inputs, but only by certain program environments. During execution, most programs access various resources, like databases, files, or devices…
Effectiveness and Scalability of Fuzzing Techniques in CI/CD Pipelines
Thijs Klooster, Fatih Turkmen, Gerben Broenink +2
Fuzzing has proven to be a fundamental technique to automated software testing but also a costly one. With the increased adoption of CI/CD practices in software development, a natu…
Stateful Greybox Fuzzing
Jinsheng Ba, Marcel Böhme, Zahra Mirzamomen +1
Many protocol implementations are reactive systems, where the protocol process is in continuous interaction with other processes and the environment. If a bug can be exposed only i…
Defect Prediction Guided Search-Based Software Testing
Anjana Perera, Aldeida Aleti, Marcel Böhme +1
Today, most automated test generators, such as search-based software testing (SBST) techniques focus on achieving high code coverage. However, high code coverage is not sufficient…