It is the objective of this article to review the existing literature and to address theoretical
deficits in the study of policy convergence. First, we briefly present the central indicators we …

Several data-intensive applications take streams of events as a continuous input and
internally map events onto a dynamic, graph-based data model which is then used for …

In this paper, we present the review of existing and proposed programming models for
Internet of Things (IoT) applications. The requests by the economy and the development of …

The actor model is an established programming model for distributed applications.
Combining event sourcing with the actor model allows the reconstruction of previous states …

Although performance is important, several other issues should be taken into account when
choosing a particular language for implementing an evolutionary algorithm, such as the fact …

It is not usual practice in the evolutionary algorithms area to benchmark different operations
in order to choose the best language for a single or multilanguage implementation …

Event sourcing is a style of software architecture wherein state altering operations to an
application are captured as immutable events. Each event is appended to an event log, with …

Despite the existence and popularity of many new and classical computer languages, the
evolutionary algorithm community has mostly exploited a few popular ones, avoiding them …

Most software can be seen as a set of business rules that are executed when triggered by an
internal event or user input. Usually, these business rules are designed to process the input …

Data schema changes occur as a result of evolving software systems. This is a well-known
problem and for relational data models there is a large body of research that addresses this …