Recently, we have been witnessing a rapid increase in the use of machine learning
techniques in self-adaptive systems. Machine learning has been used for a variety of …

Stream Processing (SP) has evolved as the leading paradigm to process and gain value
from the high volume of streaming data produced, eg, in the domain of the Internet of Things …

A concise and practical introduction to the foundations and engineering principles of self-
adaptation Though it has recently gained significant momentum, the topic of self-adaptation …

Modern software systems are expected to operate under uncertain conditions, without
interruption. Possible causes of uncertainties include changes in the operational …

Context: Software development is a collaborative task. Previous research has shown social
aspects within development teams to be highly relevant for the success of software projects …

Computing systems form the backbone of many areas in our society, from manufacturing to
traffic control, healthcare, and financial systems. When software plays a vital role in the …

Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …

Software development is a collaborative task and, hence, involves different persons.
Research has shown the relevance of social aspects in the development team for a …

Edge computing places the computational services and resources closer to the user
proximity, to reduce latency, and ensure the quality of service and experience. Low latency …

Application development for the Internet of Things (IoT) poses immense challenges due to
the lack of standard development frameworks, tools, and techniques to assist end users in …