Software Research and the Industry
Dirk Riehle's blog on everything computer science and more
What are the the top three most promising open data sources that you would like to combine for an innovative app or data analysis?
Please let us know and we will try to make it easy for you.
Continue reading “Three Open Data Sources Made Easy”
Abstract: Pattern discovery, the process of discovering previously unrecognized patterns, is usually performed as an ad-hoc process with little resulting certainty in the quality of the proposed patterns. Pattern validation, the process of validating the accuracy of proposed patterns, has rarely gone beyond the simple heuristic of “the rule of three”. This article shows how to use established scientific research methods for the purpose of pattern discovery and validation. The result is an approach to pattern discovery and validation that can provide the same certainty that traditional scientific research methods can provide for the theories they are used to validate. This article describes our approach and explores its usefulness for pattern discovery and evaluation in a series of studies.
Keywords: Patterns, pattern discovery, pattern validation, theory codification, theory building and evaluation, research design
Reference: Riehle, D., Harutyunyan, N., & Barcomb, A. (2020). Pattern Discovery and Validation Using Scientific Research Methods. Friedrich-Alexander-Universität Erlangen-Nürnberg, Dept. of Computer Science, Technical Reports, CS-2020-01, February 2020.
The article is available as a PDF file and on FAU’s OPUS server.
Many computer science degree programs do a lousy job at teaching science. A high school student, entering university, often has a good idea what science is about, based on their physics and chemistry classes. At least, it involves controlled experiments. At university, this is rarely picked up, and computer science students are given the idea that programming something novel constitutes science. With that idea, they are often bewildered when I teach them rigorous research methods, in particular if those originated in the social sciences (like qualitative interviews or hypothesis-testing surveys).
There are lots of infographics on the web of how a professor spends their time, and they mostly miss the point. At the core, and after ten years of living it, I feel confident to say that it really is three roles that a professor in Germany has to play to be successful. I also have to say that it is pretty hard to be good at all three of them. These roles are:
Continue reading “The Three Hats of a Professor in Germany”
This winter semester, students of TU Berlin completed four AMOS projects. Each section below describes the final result of one of the projects:
Pay-walled publications are just that: Publications that nobody reads unless someone pays the publisher’s fee. I have no problem with that, because I don’t read pay-walled work and don’t consider it published research and prior art that I should care about.
The real problem starts with researchers and editors who expect me to find, read, and consider pay-walled work as prior art. That’s an unacceptable proposition to me and an unfair one to the world.
Continue reading “The Real Problem with Pay-walled Publications”
My research and teaching group just celebrated its tenth anniversary, and I wanted to take some time to reflect on our teaching: What worked and what didn’t.
When I started as a university professor ten years ago, I drew on my experience as a student, as a teacher, as a practitioner, and as an entrepreneur, to define the basic principles of how I wanted to teach:
We will be hosting an industry talk on Continuous Integration / Delivery / Deployment. The talk is free and open to the public.
IAV GmbH (Berlin) will be hosting this winter semester’s AMOS demo day. Four student teams will present the results of their work, ranging from a logistics dashboard, through an ECU dashboard, a Git module configuration tool, to a next generation HMI app for Android Automotive OS.
| Date | 2020-02-06 |
| Time | 10:15am (start) to 11:45 (end) |
| Location | IAV DigiLab, Hallerstr. 6, (1tes OG), 10587 Berlin |
If you would like to attend, please drop me a note.