International Conference on Control Systems and Computer Science (24. : 2023 : Bukarest) 2023 24th International Conference on Control Systems and Computer Science Piscataway, NJ : IEEE, 2023 (2023), Seite 319-324 1 Online-Ressource
International Conference on Model-Driven Engineering Languages and Systems (24. : 2021 : Online) 24th International Conference on Model-Driven Engineering Languages and Systems Piscataway, NJ : IEEE, 2021 (2021), Seite 8-15 1 Online-Ressource
Management information systems; Computer science; Commercial law; Industries; Economic sociology
Research Approaches and Objectives of Project NEMo -- The Future of Mobility in Rural Areas: Participation and Co-creation in a Real-world laboratory -- The Social Practice of Community Mobility in Rural Areas -- From Empirical Data to Operational Models: An Approach for the Development of a Decision-making Component for an Agent-based Mobility Simulation from Quantitative Survey Data -- Using an Imovative Approach for the Structural Support of Business Idea Generation -- Mobility in Rural Areas as it Relates to the Agricultural and Food Industries and People Employed in Them -- A Sustainable Software Architecture for Mobility Platforms -- Mobility Platforms as a Key Element for Sustainable Mobility -- The Erasure Obligation Independent of a Request. .
This book presents the outcomes of the trans- and interdisciplinary research project NEMo (Nachhaltige Erfüllung von Mobilitätsbedürfnissen im ländlichen Raum - Sustainable Fulfilment of Mobility Needs in Rural Areas). Due to demographic change, it is becoming increasingly difficult for rural districts and communities to maintain a basic set of public transport services such as bus and train transit without encountering issues regarding necessary social participation, sensible regional value creation and, last but not least, achievable environmental protection goals. At the same time, the demand for mobility in rural areas will continue to rise in the future, e.g. due to the concentration of medical care facilities and shopping centres close to cities. Focusing on the development of sustainable and innovative mobility services and business models, this book explains how new mobility offers can be created in which citizens themselves become mobility providers. To do so, it combines the findings of the individual research groups with external contributions from science and practice.
Model-Driven Engineering and Software Development 1st ed. 2020. Cham : Springer International Publishing, 2020 (2020), Seite 350-375 1 Online-Ressource(XIV, 399 p. 210 illus., 109 illus. in color.)
Softwaremodelle (z. B. in der UML) sind die wichtigsten Artefakte in Modellgetriebene Entwicklung. Softwaremodelle werden während ihrer Entwicklung ständig verändert. Sie werden wg. Änderungen ständig entwickelt und gewartet. Dadurch werden Modelle zu großen Artefakten, was die gleichzeitige Zusammenarbeit von mehreren Entwicklern an gemeinsamen Modellen, d.h. Kollaborative Modellierung, erfordert. Damit spielen Modellierungsdeltas eine wesentliche Rolle beim Speichern und Synchronisieren der Änderungen. Daher wird eine Delta Repräsentation für die kollaborative Modellierung benötigt. Diese Arbeit führt eine Difference Language (DL) ein, um Modelldifferenzen zu repräsentatieren. DL ist generisch, anwendbar und erweiterbar. Es ist konzeptionell eine Familie von domänenspezifischen Sprachen. Spezifische DLs für spezifische Modellierungssprachen können aus ihren Metamodellen generiert werden. DL konzentriert sich auch auf die Bereitstellung mehrerer ergänzender Services, die die Wiederverwendung von Modellierungsdeltas ermöglichen. Diese Services werden wiederum für verschiedene Anwendungsfälle wiederverwendet. <dt.>
Software models (e.g., in UML) are the key artifacts in model-driven engineering activities. Like the source code of software systems, software models are constantly evolved and maintained undergoing diverse changes. Models become large and complex raising a need for Collaborative Modeling of several developers on shared models. In collaborative modeling, modeling deltas play essential role in storing and synchronizing model changes. Thus, difference representation in modeling deltas is crucial for collaborative modeling. This thesis introduces Difference Language (DL) to represent model differences in collaborative modeling. DL is meta-model generic, modeling tool generic, applicable and extensible. DL is conceptually a family of domain-specific languages. Specific DLs for specific modeling languages are generated from their meta-models. The approach further provides several supplementary services which allow to reuse modeling DL-based deltas. These services extend the application areas (namely, Concurrent collaborative modeling, sequential collaborative modeling and model history analysis). <engl.>
