A survey on automated driving system testing: Landscapes and trends
Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …
the efforts from both academia and industry. A typical ADS is composed of multiple modules …
Automated identification and qualitative characterization of safety concerns reported in uav software platforms
Unmanned Aerial Vehicles (UAVs) are nowadays used in a variety of applications. Given the
cyber-physical nature of UAVs, software defects in these systems can cause issues with …
cyber-physical nature of UAVs, software defects in these systems can cause issues with …
Understanding Misconfigurations in ROS: An Empirical Study and Current Approaches
The Robot Operating System (ROS) is a popular framework and ecosystem that allows
developers to build robot software systems from reusable, off-the-shelf components …
developers to build robot software systems from reusable, off-the-shelf components …
An empirical characterization of software bugs in open-source cyber–physical systems
Abstract Background: Cyber-Physical Systems (CPSs) are systems in which software and
hardware components interact with each other. Understanding the specific nature and root …
hardware components interact with each other. Understanding the specific nature and root …
Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights
Unmanned aerial vehicles (UAVs), also known as drones, are acquiring increasing
autonomy. With their commercial adoption, the problem of testing their functional and non …
autonomy. With their commercial adoption, the problem of testing their functional and non …
Challenges and practices of deep learning model reengineering: A case study on computer vision
Context Many engineering organizations are reimplementing and extending deep neural
networks from the research community. We describe this process as deep learning model …
networks from the research community. We describe this process as deep learning model …
Reflecting on recurring failures in iot development
D Anandayuvaraj, JC Davis - Proceedings of the 37th IEEE/ACM …, 2022 - dl.acm.org
As IoT systems are given more responsibility and autonomy, they offer greater benefits, but
also carry greater risks. We believe this trend invigorates an old challenge of software …
also carry greater risks. We believe this trend invigorates an old challenge of software …
Continuous integration and delivery practices for cyber-physical systems: An interview-based study
Continuous Integration and Delivery (CI/CD) practices have shown several benefits for
software development and operations, such as faster release cycles and early discovery of …
software development and operations, such as faster release cycles and early discovery of …
Flying through the secure fog: a complete study on UAV‐fog in heterogeneous networks
A drone or unmanned aerial vehicles (UAVs) is becoming a trending area for researchers
worldwide. UAV's contribution is increasing in day‐to‐day life, whether it is in a military zone …
worldwide. UAV's contribution is increasing in day‐to‐day life, whether it is in a military zone …
A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction
As the era of autonomous cyber-physical systems (ACPSs), such as unmanned aerial
vehicles and self-driving cars, unfolds, the demand for robust testing methodologies is key to …
vehicles and self-driving cars, unfolds, the demand for robust testing methodologies is key to …