Recent technological advancements have led to an increasingly interconnected world, leading to new, autonomous smart devices and services that permeate everyday life (Internet of Things) and industry (Industry 4.0). This opens up a wide array of opportunities for applications in diverse domains. At the same time, the systems supporting these applications are reaching new levels of complexity, necessitating appropriate engineering methodologies. Model-driven Engineering provides the required foundations for formally rigorous development of software-intensive systems, but is still a long way from realizing its full potential, and the adoption in industry remains limited.
The Smart Modeling project is aimed at providing a thematic framework to facilitate knowledge exchange between computing science research groups at the University of Oldenburg, Germany, and the Tashkent University of Information Technologies in Uzbekistan, as well as industry partners. The project’s workshops act as student and doctoral symposium to promote young researchers, and as discussion forum to identify research and collaboration opportunities based on scientific challenges and concrete industry needs. Major outcomes will be a comprehensive report on the state of the art of model-driven engineering, jointly developed by participating young researchers, and concrete proposals for follow-up collaborative projects to advance Smart Modeling research, improve its coverage in education, and transfer results into practical application.
|Model Consistency ensured by Metamodel Integration (MoConseMI)
In multi-perspective software development, several perspectives exist presenting different views on the developed artefacts. Because some perspectives handle the same data and all the data have relationships between each other, there is a strong need for synchronization of the data between different perspectives. To solve this problem, this project aims at developing and validating a method for integrating the single metamodels of each perspective into one integrated single underlying metamodel (SUMM).
This research area includes the development of process models for software development and software evolution, and the adaption of existing process models for specific needs of companies.
Graphs and algorithms using graphs as data structure allow the flexible creation, analysis, and storage of information. Main advantage is the high performance of searching within typed graphs which allows the usage of graphs conform to a graph schema in software engineering for lots of purposes. This research area targets approaches, techniques, and tools to create, improve, analyze, and store graphs, graph schemas, and graph algorithms.
|Requirements and Specification
Requirements are important while the complete lifecycle of a software and of a project. In the beginning, requirements help to concretise the goals of a software, which have to be fulfilled by design and implementation, and validated by test cases. This research area targets approaches, techniques, and tools to create, improve, analyze, check, and (re)use requirements and other specifications.
|Metamodeling and Model Based Engineering
Modeling and Metamodeling allow the graph-based creation, analysis, and storage of information. Model Based Engineering summerizes these and further techniques which use models as first-order objects. This research area targets approaches, techniques, and tools to create, improve, analyze, and store models conform to metamodels among the whole software life cycle.
|Software Quality and Testing
The Quality is an important aspect of software and has high impact on the evolution of software and the possibilities of their modernization. Testing is an important technique to improve the quality of software. This research area targets approaches, techniques, and tools to detect, measure, and improve the quality of software among the whole software life cycle.
In der Programmier- und Softwaretechnikausbildung ist neben der Vermittlung theoretischer Grundlagen ein wichtiger Aspekt die praktische Anwendung und Umsetzung der gelernten Konzepte durch die Studierenden. Dabei geht es um Programmierung und Modellierung von einfachen bis zu komplexen Aufgaben als Aspekte der Softwareentwicklung. Primärziel des Projektes ist es, den Studierenden eine Plattform zum Selbststudium bereitzustellen, auf der sie zeitnah Rückmeldungen zu Fehlern und Problemen ihrer Programmier- und Modellierungslösungen erhalten, die aber gleichzeitig durch Automatisierung für bis zu 500 Studierende einer Veranstaltung skaliert. Die Plattform soll sowohl für Einzelarbeit als auch für Team-basierte Entwicklungsmethoden wie Pair-Programming oder kollaborative Modellierung ausgelegt sein.
|Time is Fake
„Time is fake“ ist ein Kunstwerk des Oldenburger Künstlers und Kunsttechnikers Michael Olsen aus den Jahren 2016 – 2018, das mit softwaretechnischer Unterstützung der Abteilung Softwaretechnik realisiert wurde und dabei als Beispiel für verteilte und plattformübergreifende Entwicklung dient.
|EMIS Subsahara: Software Engineering Workshop
In the EMIS Subsahara project, researchers from the University of Oldenburg collaborate with partner universities in africa in the field of environment information systems. In this context, the Software Engineering Group organizes a workshop containing lectures and exercises for basic software engineering techniques.
Building a Quality-Driven, Generic Tool-Chain for Software Migration |
Aufbau einer qualitätsgetriebenen, generischen Werkzeugkette für die Software-Migration.
|Software Engineering for Energy Efficiency
Energy Efficiency has become more important in recent years. This is shown by the development of engery consumption of information and communication technology (10 % of the german energy consumption in 2007). Futhermore battery development cannot keep up with the ubiquitous and powerful mobile devices. Research on hardware and low level software optimizations has been comprehensively explored. But the research on optimizing energy consumption on application level is still in its infancy. So in this project should be improved Energy Efficiency of applications by using reengineering services, like static and dynamic program analysis, and systematic code transformations.