It gets harder and harder to guarantee the quality of software systems due to their increasing
complexity and fast development. Because it helps spot errors and gaps during the first …

Neutral program variants are alternative implementations of a program, yet equivalent with
respect to the test suite. Techniques such as approximate computing or genetic …

Performance bugs are known to be a major threat to the success of software products.
Performance tests aim to detect performance bugs by executing the program through test …

Context: Mutation testing techniques, which attempt to construct a set of so-called mutants by
seeding various faults into the software under test, have been widely used to generate test …

Context: The prevalent application of Deep Learning (DL) models has raised concerns
about their reliability. Due to the data-driven programming paradigm, the quality of test …

Performance models have been used in the past to understand the performance
characteristics of software systems. However, the identification of performance criticalities is …

Context: Given the prevalence of Deep Learning (DL) models in daily life, it is crucial to
guarantee their reliability by DL testing. Recently, researchers have adapted mutation …

Context Mutation testing is considered to be a powerful approach to assess and improve the
quality of test suites. However, this technique is expensive mainly because some mutants …

Thanks to the emergence of package managers and online software repositories, modern
software development heavily relies on the reuse of third-party libraries. This practice has …

In this survey, we consider online algorithms for bin packing and strip packing problems, as
well as their generalizations (multidimensional bin packing, multiple strip packing, and …