Fraunhofer Institute for Software and Systems EngineeringThe development of modern software solutions is a key success factor for the digital transformation and innovative ability of companies. Traditional software architectures often reach their limits in the face of the increasing complexity, dynamism, and data intensity of digital business models. Our research area focuses on the development of robust, modular, and cloud-native software platforms that enable the rapid integration of new technologies and services and meet the requirements of modern companies.
Software engineering and software systems
Research focusing on the design, development, and optimization of software platforms, serverless architectures, and digital infrastructures.
We design and implement innovative architectures such as serverless platforms, adaptive system components, and automated deployment processes that help companies make their IT infrastructures efficient, flexible, and future-proof. A particular focus is on the automation of development, testing, and operational processes to shorten the time-to-market for new digital products and services and continuously improve software quality. Our research also addresses the challenges of integrating AI algorithms, data management tools, and security mechanisms into existing software landscapes. Close collaboration with partners from industry and research results in practical solutions that pave the way for innovative business models and strengthen competitiveness in a sustainable manner. We support companies in introducing modern software development processes, migrating to cloud-based architectures, and optimizing their IT landscapes.
Our expertise enables companies to respond flexibly to market changes, adapt quickly to new technologies, and make the most of the opportunities offered by digitalization. The results of our work show that the use of modern software engineering methods can significantly reduce development and operating costs, increase system stability, and boost innovation.
Latest publications
| Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2025 | Introduction to the Minitrack on Federated Industrial Platform Ecosystems: Technologies, Business Models, and Data-Driven Artifacts Valk, Hendrik van der; Duparc, Estelle; Große, Nick; Hunker, Joachim |
Konferenzbeitrag Conference Paper |
| 2025 | Participatory Design of a Smart Home Emergency System: Preliminary Study on Affinity and Acceptance Towards Smart Technologies Among Disabled People Weirauch, Vera; Wolf, Eduard; Rietz, Annika; Dzieia, Colin; Pantförder, Michael |
Konferenzbeitrag Conference Paper |
| 2025 | Proposing an Integrated Process Model for Designing Clinical Decision Support Tools Wolf, Eduard; Morisse, Karsten; Meister, Sven |
Konferenzbeitrag Conference Paper |
| 2025 | Evaluation of a large language model to simplify discharge summaries and provide cardiological lifestyle recommendations Rust, Paul; Frings, Julian; Meister, Sven; Fehring, Leonard |
Zeitschriftenaufsatz Journal Article |
| 2025 | Diagnosis decoded: a taxonomy and natural language processing analysis of the diagnosis section in German hospital discharge summaries Frings, Julian; Rust, Paul; Jede, Felix; Meister, Sven; Prinz, Christian; Fehring, Leonard |
Zeitschriftenaufsatz Journal Article |
| 2025 | Supporting Software Engineers in IT Security and Privacy through Automated Knowledge Discovery Ehl, Marco; Ahmadian, Amir Shayan; Großer, Katharina; Elsofi, Duaa Adel Ali; Herrmann, Marc; Specht, Alexander; Schneider, Kurt; Jürjens, Jan |
Konferenzbeitrag Conference Paper |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica
Examples from our projects
Our research projects are developed in close collaboration with industry partners. They are market- and demand-oriented, with the aim of providing applicable solutions for the cloud edge ecosystem.
Serverless EDC: a cloud-native alternative to EDC
The Eclipse Dataspace Components Connector (EDC) is the de facto standard for connectors in data space projects. This open-source solution requires data space participants to undergo extensive training and incurs high operating costs due to regular updates. Alternative software-as-a-service (SaaS) offerings eliminate this effort, but are cost-intensive, even if the connector is rarely used, for example in demonstrators. The Serverless EDC offers a middle ground between these two operating models: it leverages the advantages of serverless architectures and relies on highly scalable cloud technologies. Data room participants retain full control over their connector and benefit from a short time-to-market. Operation, on the other hand, is billed according to the cloud operator's pay-per-use pricing model.