Context: Championed by IBM's vision of autonomic computing paper in 2003, the autonomic
computing research field has seen increased research activity over the last 20 years …

The runtime environment is an important concern for self-adaptive systems (SASs). Although
researchers have proposed many approaches for developing SASs that address the issues …

With the advent of software technologies, over a period of time, the Industrial Control
Systems (ICSs) have grown exponentially. Whereas, almost all ICSs comprise Human …

The self-* properties commonly associated with the concept of autonomic computing are
capabilities desirable for avionics software platforms. They decrease the configuration effort …

Self-adaptive software (SAS) is gaining popularity as it can reconfigure itself in response to
the dynamic changes in the operational context or itself. However, early modeling and …

Today's avionics platforms are statically configured and certified. Significant effort reduction
would be possible if avionics components were self-configuring. Moreover, a dynamic state …

Traditional product development frameworks were developed decades ago, lacking the
utilization of big data technology and model-based systems engineering (MBSE) theory …

Regression test selection (RTS) approaches reduce the cost of regression testing of
evolving software systems. Existing RTS approaches based on UML models use behavioral …

Self-adaptive Systems (SaSs) are able to adapt their behavior at runtime in response to
contextual changes. In this work, we are interested in SaSs conceptual modeling, which is …

Abstract Unified Modeling Language (UML) is a semi-formal graphical language which is
used in the software development and other domains including railway system modeling …