Effectively specifying and implementing robotic missions pose a set of
c...
Artificial intelligence (AI) in its various forms finds more and more it...
Computing systems form the backbone of many areas in our society, from
m...
Artifacts support evaluating new research results and help comparing the...
Scenario-based testing for automated driving systems (ADS) must be able ...
Self-adaptation equips a software system with a feedback loop that autom...
In order to increase the ability to build complex, software-intensive
sy...
A traditional approach to realize self-adaptation in software engineerin...
Development of the intelligent autonomous robot technology presupposes i...
Recent worldwide events shed light on the need of human-centered systems...
Robots that support humans by performing useful tasks (a.k.a., service
r...
Traceability is a key enabler of various activities in automotive softwa...
Control theoretical techniques have been successfully adopted as methods...
In large-scale automotive companies, various requirements engineering (R...
Deep Learning systems (DL) based on Deep Neural Networks (DNNs) are more...
Goals are first-class entities in a self-adaptive system (SAS) as they g...
Agile methods are increasingly introduced in automotive companies in the...
Mobile and general-purpose robots increasingly support our everyday life...
The assurance of real-time properties is prone to context variability.
P...
As an envisaged future of transportation, self-driving cars are being
di...