Institute for Agile Software Development (THA_ias)

For more than 20 years, agile project techniques have promised better planning and execution of (software) development projects, and have since been hyped as a panacea for all kinds of project disasters. After a period of disillusionment, one thing is clear: things can still go wrong here, too. We have made it our mission to examine agile software development techniques, apply them in some of our projects, and further develop them. The insights we gain are intended to help apply these methods and techniques profitably in various contexts.

Digitalization is increasingly making its way into every aspect of people’s lives. The healthcare sector, too, is under increasing pressure to make greater use of the opportunities offered by digitalization. The big promise behind this is to streamline and automate administrative processes so that nurses and doctors can devote more time to actual patient care. But where should healthcare providers even begin with digitalization? Which technologies are worth considering? BPMN, CMMN, DMN, process engines, or perhaps robotic process automation? And the most important question of all: Can digitalization truly deliver on its promise of saving time in the end?

Together with our partners, we’re working to develop solutions for process digitization and find answers to these questions.

To overcome the challenges posed by the digitization of workflows and interactions in the private sphere, software developers and computer scientists need effective tools to keep pace with ever-increasing demands. The central question is: How can efficient software development (in terms of time, quality, and security requirements) be achieved? One way to approach this goal is to optimize existing resources (programming languages, tools, etc.) for efficient use. However, the analysis of architectural patterns and decisions regarding collaboration also play an important role.

Together with our partners, we are working to find answers to these questions.

The use of AI-based software solutions—particularly machine learning—offers enormous potential, but the prerequisites and potential applications are not always clear. As part of the Augsburg AI Network for Production Engineering, we offer SMEs an accessible opportunity to develop concepts for AI-based solutions through student projects, create prototypes of these solutions, and evaluate them.

If you’re interested, please feel free to contact our THA_innolab team!