Dirk Riehle's Industry and Research Publications

Category: 3. Research and Teaching

  • Making your research work practical for industry use

    Making your research work practical for industry use

    Most research articles are written for other researchers, leaving “popularization” to further publications (that for the most part never happen). What if you were able to capture and present your research work in such a way that it furthers your research and speaks to practitioners as well? After all, without application in practice, there will…

  • An empirical study of Jayvee, a domain-specific language for data engineering, on understanding data pipeline architectures [SP&E Journal]

    An empirical study of Jayvee, a domain-specific language for data engineering, on understanding data pipeline architectures [SP&E Journal]

    Abstract A large part of data science projects is spent on data engineering. Especially in open data contexts, data quality issues are prevalent and are often tackled by non-professional programmers. We introduce and evaluate Jayvee, a domain-specific language for data engineering aimed at reducing barriers to building data pipelines. We show that a structured DSL…

  • Who gets to do velocity and burndown charts in Scrum?

    Who gets to do velocity and burndown charts in Scrum?

    In Scrum, velocity charts display the story points achieved in a given sprint, and a burndown chart displays the total size of features you expect to deliver in future sprints until the end of the project release cycle, typically with the goal of reaching zero remaining features to be done. I teach Scrum at German…

  • A systematic literature review of pre-requirements specification traceability [RE Journal]

    A systematic literature review of pre-requirements specification traceability [RE Journal]

    Abstract Requirements traceability (RT) is the ability to link requirements to other software development artifacts. In pre-requirements (pre-RS) traceability, requirements are linked to their origin, such as interviews with stakeholders, meeting protocols, or legacy systems. Compared with post-RS traceability, which links requirements to source code and other later artifacts, pre-RS traceability has seen much less…

  • A systematic analysis of problems in open collaborative data engineering [TSC Journal]

    A systematic analysis of problems in open collaborative data engineering [TSC Journal]

    Abstract Collaborative workflows are common in open-source software development. They reduce individual costs and improve the quality of work results. Open data shares many characteristics with open-source software as it can be used, modified, and redistributed by anyone, for free. However, in contrast to open-source software engineering, collaborative data engineering on open data lacks a…

  • Upcoming talks in June and July 2023

    Upcoming talks in June and July 2023

    2023-05-31: User-led open source projects (free, in person, in Berlin) at Open Logistics Foundation’s Open Source Innovation Day 2023 2023-06-23: The corporate open source strategy (commercial, in person, in Montreal) at the TTI/Vanguard Rebooting Computing conference 2023-06-26: Creating a ROS Distribution (free, in person, in Lisbon) at INESC-ID / University of Lisbon respectively, courtesy of…