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Research Areas

Under the guiding principle of open collaboration, we structure our research into the following five research areas:

  1. Open source
  2. Inner source
  3. Open data
  4. Open modeling
  5. Open knowledge
  6. Assorted

The research area knowledge collaboration, most notably the Sweble project, is currently being turned into a startup.

1. Open source

Open source is the name-giving research area of our research group. We broadly research how companies use, contribute to, and lead open source projects, how open source communities work and how they are goverened, reaching from the informal to various forms of open source foundations. A speciality of our group is experience with and research into open source strategies for businesses and business models.

Current sponsored projects

  • Best practices for managing open source communities (DFG)
  • Open source governance of the software supply chain (BMBF)
  • A tool for creating open source bill-of-materials (BMWi)

2. Inner source

Inner source is the use of open source best practices for developing software inside companies. Inner source is aimed at helping achieve the holy grain of every engineering organisation: Faster, better, cheaper software development. We research best practices, governance, and tooling to support creating and managing inner source software development organizations.

Current sponsored projects

  • Management accounting for inner source (DFG)

3. Open data

They say, “data is the new oil”. We say, open data enables open innovation. We research how innovative apps and other applications can be developed using open data, how an ecosystem of open data providers and curators should look like to best support open data consumers in creating open innovation. Most of our research is done as part of the JValue umbrella project.

Current sponsored projects

  • Integrating open data into energy distribution management (BMWi)

4. Open modeling

Modeling the world (or an aspect thereof), is a critical component of every software engineering process. We currently focus on requirements engineering and have developed a method through which artifacts like requirements specifications and domain models can be derived from stakeholder input in a systematic form. The resulting artifacts are of a higher quality than possible before, have less inconsistencies and have less holes. Most of our research is done as part of the QDAcity project.

Current sponsored projects

  • Domain modeling using qualitative data analysis (DFG)

5. Open knowledge

Open knowledge collaboration takes knowledge sharing and diffusion to the next level. We believe that the way developers collaboratively write code using a peer-review model can also be applied to writing complex documents. Thus, we have adapted this paradigm from the more narrow group of developers to the group of all people who write documents in their work. Most of the research so far was done in the Sweble project, which is now becoming the EDITIVE startup.

Current sponsored projects

  • Open knowledge collaboration with Sweble (BMWi)

6. Assorted

We also perform one-off research, for example, on research methods.

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