Towards Augmented Enterprise Models as Low-Code Interfaces to Digital Systems

Fill, Hans-Georg; Härer, Felix; Muff, Fabian; Curty, Simon

doi:10.1007/978-3-030-79976-2_22

Cited by 8 publications

(2 citation statements)

References 35 publications

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“…It has thus not been directed towards the interpretation of the model content by machines. However, the machine-based processing of model information can further increase the value of models as apparent in model-driven engineering or recent approaches in enterprise modeling (Fill et al 2021). This permits to apply a variety of technologies to models for interpreting their content, e. g., for semantic reasoning and data processing Smajevic et al 2021), code generation (Kelly et al 2013) or as direct interfaces to other systems and data representations (Fill and Johannsen 2016;Chis-Ratiu and Buchmann 2018).…”

Section: Modelmentioning

confidence: 99%

Informing Possible Future Worlds

2024

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For more than 35 years, Ulrich Frank has shaped Wirtschaftsinformatik as a scientific discipline through thoughtful and sophisticated research contributions and his numerous contributions to the scientific community.Informing Possible Future Worlds is the Festschrift in honour of Ulrich Frank on the occasion of his 65 th birthday. The Festschrift includes twenty-three essays written by friends, colleagues, and fellow researchers in recognition of Ulrich's contributions to Wirtschaftsinformatik research and the scientific community. Each essay is a personal and unique 'birthday present' to Ulrich Frank written exclusively for the Festschrift. From original research contributions to more personal reflections, the essays cover a wide range of topics, themes, and fields -just like Ulrich Frank's contributions.For more than 35 years, Ulrich Frank has shaped and promoted Wirtschaftsinformatik as a scientific discipline through his thoughtful and sophisticated research contributions and his numerous contributions to the scientific community. He has initiated, engaged in and promoted scientific discourse nationally and internationally, inspired, encouraged and guided young researchers, and played an outstanding part in the Wirtschaftsinformatik community.Starting with his Diplomarbeit in 1982 on 'Die Problematisierung von Zielbildungsprozessen in Unternehmungen durch die Betriebswirtschaftslehre unter besonderer Berücksichtigung des Verhältnisses von Wissenschaft und Praxis' (supervised by Erwin Grochla at the Universität zu Köln), Ulrich has cultivated his interest not only in Betriebswirtschaftslehre and Wirtschaftsinformatik, Software Engineering and Conceptual Modelling, but also in the Philosophy of Science, the Philosophy of Language, the Sociology of Knowledge and in Organisational Sociology. For his Diplomarbeit, he read Albert, Feyerabend, Mittelstrass, and Popper, among others, and reflected on organisational goal-setting ('Zielbildungsprozesse') from multiple, complementary perspectives -a lifelong leitmotiv he later incorporated in his Multi-Perspective Enterprise Modelling (MEMO) method.An avid reader and bibliophile, Ulrich must have learned about Niklas Luhmann, the German sociologist working at Universität Bielefeld, Ulrich's hometown, likely in his teens, and started his own personal discourse with Luhmann's writings, and from there on expanded his readings. At about the same time, Ulrich started to program computers, developed and sold his first software application, and, most importantly, discovered Smalltalk, the programming language created by Alan Kay and others at Xerox PARC's Learning Research Group -which has strongly influenced him to this day and which he has admired ever since.Following his discovery of Smalltalk, he took a deep dive into Object-Oriented Programming and Object-Oriented Modelling that took him to take a minor in Angewandte Informatik (Applied Informatics) at the Universität zu Köln during his graduate studies.vii His doctoral research with Alfred Kieser at Universität Mannheim ...

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Section: Modelmentioning

confidence: 99%

Informing Possible Future Worlds

2024

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“…In addition, organizational barriers such as the involvement of new regulatory requirements, the development of new skills and competencies, and the availability of financial and human resources may prevent adoption in practice [8]. From the perspective of software engineering, the lack of specialists for programming may today be partly compensated with so-called low-code platforms [12,31,4]. These development platforms are typically available as cloud services with visual, diagrammatic interfaces and declarative languages.…”

Section: Introductionmentioning

confidence: 99%

Blockchain Application Development Using Model-Driven Engineering and Low-Code Platforms: A Survey

Curty¹,

Härer²,

Fill³

2022

Preprint

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The creation of blockchain-based software applications requires today considerable technical knowledge, particularly in software design and programming. This is regarded as a major barrier in adopting this technology in business and making it accessible to a wider audience. As a solution, no-code and low-code approaches have been proposed that require only little or no programming knowledge for creating full-fledged software applications. In this paper we review academic approaches from the discipline of model-driven engineering as well as industrial no-code and low-code development platforms for blockchains. We further present a case study for an integrated no-code blockchain environment for demonstrating the state-of-the-art in this area. Based on the gained insights we derive requirements for the future development of no-code and low-code approaches that are dedicated to the field of blockchains.

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