Automated Static Analysis Tools (ASATs) are an integral part of today’s software quality assurance practices. At present, a plethora of ASATs exist, each with different strengths. However, there is little guidance for developers on which of these ASATs to choose and combine for a project. As a result, many projects still only employ one ASAT with practically no customization. With UAV, the Unified ASAT Visualizer, we created an intuitive visualization that enables developers, researchers, and tool creators to compare the complementary strengths and overlaps of different Java ASATs. UAV’s enriched treemap and source code views provide its users with a seamless exploration of the warning distribution from a high-level overview down to the source code. We have evaluated our UAV prototype in a user study with ten second-year Computer Science (CS) students, a visualization expert and tested it on large Java repositories with several thousands of PMD, FindBugs, and Checkstyle warnings. Project Website: https://clintoncao.github.io/uav/@en

Video games have become increasingly popular, but only a few focus on physical activity. Superhuman sports build upon this trend and try to stimulate physical activity while relying on technology to enhance human abilities. VRabl is such a superhuman sport. Being a multiplayer augmented reality sports game, it stimulates players to be physically active using similar mechanics as video games. It is based on the well-known and popular game dodgeball, to reach out to a large player community and have simple rules. The major goal of VRabl is to make dodgeball more attractive and engaging for younger generations. The game relies on two Microsoft HoloLenses to enable a novel multiplayer augmented reality sports game. A first evaluation shows that VRabl is enjoyable for people of every age group and stimulates physical activity, while having fun at the same time.@en