Abstract
As robotic systems such as autonomous cars and delivery drones assume greater roles and responsibilities within society, the likelihood and impact of catastrophic software failure within those systems is this http URL aid researchers in the development of new methods to measure and assure the safety and quality of robotics software, we systematically curated a dataset of 221 bugs across 7 popular and diverse software systems implemented via the Robot Operating System (ROS). We produce historically accurate recreations of each of the 221 defective software versions in the form of Docker images, and use a grounded theory approach to examine and categorize their corresponding faults, failures, and fixes. Finally, we reflect on the implications of our findings and outline future research directions for the community.
Abstract (translated)
随着机器人系统（如自动驾驶汽车和无人机送货）在社会中扮演越来越重要的角色，这些系统中灾难性软件故障的可能性和影响就显得尤为关键。为了帮助研究人员开发新的方法来测量和确保机器人软件的安全性和质量，我们系统地整理了一份包含7个流行且具有不同功能的机器人操作系统（ROS）实现中的221个 bug 的数据集。我们以历史准确的方式重新创建了每个221个有缺陷的软件版本，并使用 grounded theory 方法来研究和归类它们相应的故障、失败和修复。最后，我们反思了我们的发现，并为社区未来的研究方向勾画了轮廓。
URL
https://arxiv.org/abs/2404.03629
