Machine learning (ML) has become a core feature for today's real-world applications,
making it a trending topic for the software engineering community. Requirements …

Conceptual modeling is an important part of information systems development and use that
involves identifying and representing relevant aspects of reality. Although the past decades …

With the rise of artificial intelligence (AI), the issue of trust in AI emerges as a paramount
societal concern. Despite increased attention of researchers, the topic remains fragmented …

The role of information systems (IS) as representations of real-world systems is changing in
an increasingly digitalized world, suggesting that conceptual modeling is losing its …

Both conceptual modeling and machine learning have long been recognized as important
areas of research. With the increasing emphasis on digitizing and processing large amounts …

The digitalization of human society continues at a relentless rate. However, to develop
modern information technologies, the increasing complexity of the real-world must be …

Implementing machine learning in an enterprise involves tackling a wide range of
complexities with respect to requirements elicitation, design, development, and deployment …

Manually integrating data of diverse formats and languages is vital to many artificial
intelligence applications. However, the task itself remains challenging and time-consuming …

With the ongoing digitalization of human society, regular employees (eg, noninformation
technology experts) become increasingly autonomous and proactive in using organizational …

Abstract The Decision Model and Notation (DMN) modeling language allows the precise
specification of business decisions and business rules. DMN is readily understandable by …