Testing machine learning based systems: a systematic mapping
Abstract Context: A Machine Learning based System (MLS) is a software system including
one or more components that learn how to perform a task from a given data set. The …
one or more components that learn how to perform a task from a given data set. The …
Software verification and validation of safe autonomous cars: A systematic literature review
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …
caused by humans on roads, such as accidents and traffic congestion. However, those …
Software engineering for AI-based systems: a survey
AI-based systems are software systems with functionalities enabled by at least one AI
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …
Misbehaviour prediction for autonomous driving systems
Deep Neural Networks (DNNs) are the core component of modern autonomous driving
systems. To date, it is still unrealistic that a DNN will generalize correctly to all driving …
systems. To date, it is still unrealistic that a DNN will generalize correctly to all driving …
Self-improving situation awareness for human–robot-collaboration using intelligent Digital Twin
The situation awareness, especially for collaborative robots, plays a crucial role when
humans and machines work together in a human-centered, dynamic environment. Only …
humans and machines work together in a human-centered, dynamic environment. Only …
On challenges in engineering IoT software systems
Contemporary software systems, such as the Internet of Things (IoT), Industry 4.0, and Smart
Cities are new technology paradigms that offer challenges for their construction since they …
Cities are new technology paradigms that offer challenges for their construction since they …
Three-dimension digital twin reference architecture model for functionality, dependability, and life cycle development across industries
The Digital Twin concept promises numerous applications across industries and its physical
twin's entire life cycle. Although numerous architectures have been proposed to develop and …
twin's entire life cycle. Although numerous architectures have been proposed to develop and …
Industrial autonomous systems: a survey on definitions, characteristics and abilities
Autonomous systems are increasingly discussed in the domain of industrial automation.
However, there is no consensus in the literature about the definition of industrial …
However, there is no consensus in the literature about the definition of industrial …
Adapting software architectures to machine learning challenges
Unique developmental and operational characteristics of machine learning (ML)
components as well as their inherent uncertainty demand robust engineering principles are …
components as well as their inherent uncertainty demand robust engineering principles are …
Understanding responsibility under uncertainty: A critical and scoping review of autonomous driving systems
F Rowe, M Jeanneret Medina… - Journal of …, 2024 - journals.sagepub.com
Autonomous driving systems (ADS) operate in an environment that is inherently complex. As
these systems may execute a task without the permission of a human agent, they raise major …
these systems may execute a task without the permission of a human agent, they raise major …