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06/28/2023
Limits of Machine Learning for Automatic Vulnerability Detection
Recent results of machine learning for automatic vulnerability detection...
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04/20/2023
SBFT Tool Competition 2023 – Fuzzing Track
This report outlines the objectives, methodology, challenges, and result...
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04/20/2023
Finding Bug-Inducing Program Environments
Some bugs cannot be exposed by program inputs, but only by certain progr...
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12/19/2022
Explainable Fuzzer Evaluation
While the aim of fuzzer evaluation is to establish fuzzer performance in...
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05/30/2022
Effectiveness and Scalability of Fuzzing Techniques in CI/CD Pipelines
Fuzzing has proven to be a fundamental technique to automated software t...
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04/06/2022
Stateful Greybox Fuzzing
Many protocol implementations are reactive systems, where the protocol p...
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10/06/2021
How good does a Defect Predictor need to be to guide Search-Based Software Testing?
Defect predictors, static bug detectors and humans inspecting the code c...
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09/26/2021
Defect Prediction Guided Search-Based Software Testing
Today, most automated test generators, such as search-based software tes...
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01/08/2021
Locating Faults with Program Slicing: An Empirical Analysis
Statistical fault localization is an easily deployed technique for quick...
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12/16/2019
Human-In-The-Loop Automatic Program Repair
We introduce Learn2fix, the first human-in-the-loop, semi-automatic repa...
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11/12/2019
MCPA: Program Analysis as Machine Learning
Static program analysis today takes an analytical approach which is quit...
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11/23/2018
Smart Greybox Fuzzing
Coverage-based greybox fuzzing (CGF) is one of the most successful metho...
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07/26/2018
Assurances in Software Testing: A Roadmap
As software engineering researchers, we already understand how to make t...
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03/06/2018