Handling Complexity in Modern Software Engineering: Editorial Introduction to Issue 32 of CSIMQ
DOI:
https://doi.org/10.7250/csimq.2022-32.00Keywords:
Agile, Executable Knowledge, Machine Learning, Security Requirements, Traceability, Systems Modeling, Formal Model, Reference Model, Parametrized Model, Poultry AnalyticsAbstract
The potential of the Internet and related digital technologies, such as the Internet of Things (IoT), cognition and artificial intelligence, data analytics, services computing, cloud computing, mobile systems, collaboration networks, and cyber-physical systems, are both strategic drivers and enablers of modern digital platforms with fast-evolving ecosystems of intelligent services for digital products. This issue of CSIMQ presents three recent articles on modern software engineering. First, we focus on continuous software development and place it in the context of software architectures and digital transformation. The first contribution is followed by the description of the basis of specific security requirements and adequate digital monitoring mechanisms. Finally, we present a practical example of the digital management of livestock farming.Downloads
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28.10.2022
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Copyright (c) 2022 Alfred Zimmermann, Bartosz Marcinkowski (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Zimmermann, A., & Marcinkowski, B. (2022). Handling Complexity in Modern Software Engineering: Editorial Introduction to Issue 32 of CSIMQ. Complex Systems Informatics and Modeling Quarterly, 32, I-II. https://doi.org/10.7250/csimq.2022-32.00