Context. The equivalent mutant problem (EMP) is one of the crucial problems in mutation
testing widely studied over decades. Objectives. The objectives are: to present a systematic …

Mutation testing is the process whereby a fault is deliberately inserted into a software
system, in order to assess the quality of test data, in terms of its ability to find this fault …

Deep neural networks have made amazing progress in many areas over the past few years.
After training deep neural networks, a common way is to build a set of test samples to …

Exception handling is a mechanism in modern programming languages. Studies have
shown that the exception handling code is error-prone. However, there is still limited …

Abstract Since Mutation Testing was proposed in the 1970s, it has been considered as an
effective technique of software testing process for evaluating the quality of the test data. In …

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 …

Context: Exception handling has become popular in most major programming languages,
including Ada, C++, Java, and ML. Since exception handling was introduced in …

Mutation testing is a successful testing technique based on fault injection. However, it can be
very costly, and several cost‐reduction techniques for reducing the number of mutants have …

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 …

Modern programming languages (eg, Java and C#) provide features to separate error-
handling code from regular code, seeking to enhance software comprehensibility and …