Search-based software testing (SBST) generates high-coverage test cases for programs
under test with a combination of test case generation and mutation. SBST's performance …

Fuzzing has achieved tremendous success in discovering bugs and vulnerabilities in
various software systems. Systems under test (SUTs) that take in programming or formal …

How to find security flaws in a protocol implementation without a machine-readable
specification of the protocol? Facing the internet, protocol implementations are particularly …

Fuzzing has achieved tremendous success in discovering bugs and vulnerabilities in
various software systems. Systems under test (SUTs) that take in programming or formal …

Fuzzing has proven to be a highly effective approach to uncover software bugs over the past
decade. After AFL popularized the groundbreaking concept of lightweight coverage …

Context: One of the critical phases in the software development life cycle is software testing.
Testing helps with identifying potential bugs and reducing maintenance costs. The goal of …

Deep-learning (DL) compilers such as TVM and TensorRT are increasingly being used to
optimize deep neural network (DNN) models to meet performance, resource utilization and …

Fuzz testing is an active area of research with proposed improvements published at a rapid
pace. Such proposals are assessed empirically: Can they be shown to perform better than …

Test smells aim to capture design issues in test code that reduces its maintainability. These
have been extensively studied and generally found quite prevalent in both human-written …

Today's digital communication relies on complex protocols and specifications for
exchanging structured messages and data. Communication naturally involves two …