Interaction testing can be used to effectively detect faults that are otherwise difficult to find by
other testing techniques. However, in practice, the input configurations of software systems …

Genetic Improvement (GI) is a form of Genetic Programming that improves an existing
program. We use GI to evolve a faster version of a C++ program, a Boolean satisfiability …

Genetic Improvement (GI) is an area of Search Based Software Engineering which seeks to
improve software's non-functional properties by treating program code as if it were genetic …

Covering arrays (CAs) are often used as test suites for combinatorial interaction testing to
discover interaction faults of real-world systems. Most real-world systems involve constraints …

To meet the rising demand for software customization, highly configurable software systems
play key roles in practice. Combinatorial interaction testing (CIT) is recognized as an …

Combinatorial testing aims at reducing the cost of software and system testing by reducing
the number of test cases to be executed. We propose an approach for combinatorial testing …

Since their introduction into software testing in the mid-1980s, combinatorial methods for test
design gathered popularity as a testing best practice and as a prominent software testing …

To meet the increasing demand for customized software, highly configurable systems
become essential in practice. Such systems offer many options to configure, and ensuring …

Genetic improvement uses automated search to find improved versions of existing software.
Genetic improvement has previously been concerned with improving a system with respect …

Combinatorial interaction testing (CIT) is an important technique for testing highly
configurable software systems with demonstrated effectiveness in practice. The goal of CIT …