Genetic improvement (GI) uses automated search to find improved versions of existing
software. We present a comprehensive survey of this nascent field of research with a focus …

With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …

Search-based software engineering (SBSE) is changing the way traditional software
engineering (SE) activities are carried out by reformulating them as optimisation problems …

Quality and safety are important and are the leading concerns in a construction project.
Planning a project without properly incorporating these two performance parameters …

Search-Based Software Engineering (SBSE) has been successfully applied to automate a
wide range of software development activities. Nevertheless, in those software engineering …

Context Evolutionary algorithms have been shown to be effective at generating unit test
suites optimised for code coverage. While many specific aspects of these algorithms have …

Variation in software requirements, technological upgrade and occurrence of defects
necessitate change in software for its effective use. Early detection of those classes of a …

While working on a software specification, designers usually need to evaluate different
architectural alternatives to be sure that quality criteria are met. Even when these quality …

Evolutionary algorithms have been shown to be effective at generating unit test suites
optimised for code coverage. While many aspects of these algorithms have been evaluated …

In order to effectively use differential evolution (DE) to solve multi-objective optimisation
problems, it is necessary to consider how to ensure the search ability of DE. However, the …