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 …

Despite recent increase in research on improvement of non-functional properties of
software, such as energy usage or program size, there is a lack of standard benchmarks for …

Null pointer exceptions (NPE) are the number one cause of uncaught crashing exceptions in
production. In this paper, we aim at exploring the search space of possible patches for null …

Grow and graft genetic programming (GGGP) evolves more than 50000 parameters in a
state-of-the-art C program to make functional source code changes which give more …

Evolving LLVM IR is widely applicable, with LLVM Clang offering support for an increasing
range of computer hardware and programming languages. Local search mutations are used …

Genetic Improvement (GI) uses automated search to improve existing software. Most GI work
has focused on empirical studies that successfully apply GI to improve software's running …

Magpie (Machine Automated General Performance Improvement via Evolution of software)
has been recently developed by Aymeric Blot from PyGGI 2.0. Like PyGGI, it claims to be …

Profiling is an important tool in the software developer's box, used to identify hot methods
where most computational resources are used, to focus efforts at improving efficiency …

With increasing reliance on multi-core parallel computing performance is evermore
dominated by interprocessor data communication typically provided by last level cache …

High order mutation analysis of a software engineering benchmark, including schema and
local optima networks, suggests program improvements may not be as hard to find as is …