Randomized algorithms are widely used to address many types of software engineering
problems, especially in the area of software verification and validation with a strong …

Historically, researchers have proposed and applied many techniques to reduce the cost of
mutation testing. It has become difficult to find all techniques and to understand the cost …

Mutation testing realizes the idea of using artificial defects to support testing activities.
Mutation is typically used as a way to evaluate the adequacy of test suites, to guide the …

Context: Zero-day vulnerabilities are highly destructive and sudden. However, traditional
static and dynamic testing methods cannot efficiently detect them. Objective: In this paper, a …

Mutation testing is a powerful methodology for evaluating test suite quality. In mutation
testing, a large number of mutants are generated and executed against the test suite to …

Identifying equivalent mutants remains the largest impediment to the widespread uptake of
mutation testing. Despite being researched for more than three decades, the problem …

This paper introduces a new paradigm for Mutation Testing, which we call Higher Order
Mutation Testing (HOM Testing). Traditional Mutation Testing considers only first order …

Much research on software testing and test techniques relies on experimental studies based
on mutation testing. In this paper we reveal that such studies are vulnerable to a potential …

Mutation testing offers concrete test goals (mutants) and a rigorous test efficacy criterion, but
it is expensive due to vast numbers of mutants, many of which are neither useful nor …

Various proxy metrics for test quality have been defined in order to guide developers when
writing tests. Code coverage is particularly well established in practice, even though the …