Metrics

Vision

All Software Center companies have efficient product development, release and deployment processes.

Mission

We help the companies to design and develop modern measurement methods and tools by utilizing state-of-the-art analytics, AI and machine learning.

We use Action Research to increase the impact and adoption of the results (Action Research in Software Engineering), i.e., we work on-site of the companies.

Over the course of ten years of our collaboration, our theme has resulted in over 50 models and tools. We have also published over 200 papers and books that disseminate the results to the public domain.

Examples of the metrics designed and introduced to the companies:

Projects

RSS Metrics blog

  • Sketches to models… January 28, 2024
    https://www.computer.org/csdl/proceedings-article/models/2023/248000a173/1SOLExN0XaU It’s been a while since I worked with models and I looked a bit at how things have evolved. As I remember, one of the major problems with modelling was one of its broken promises – simplicity. The whole idea with modelling was to be able to sketch things, discuss candidate solutions and then […]
    Miroslaw Staron
  • Modelling digital twins… January 21, 2024
    https://www.computer.org/csdl/proceedings-article/models/2023/248000a013/1SOLEPphpHa Digital twins are becoming increasingly important. They provide a possibility to monitor their real twin without the need for costly measurements and sending technicians to the site where the real twin is located. However, development of them is not so easy and is almost one-off for every twin pair. The paper “A Model-driven Approach […]
    Miroslaw Staron
  • Generating documentation from notebooks December 15, 2023
    https://github.com/jyothivedurada/jyothivedurada.github.io/blob/main/papers/Cell2Doc.pdf Understanding code is the same regardless if it is in a Jupyter notebook or if it is in another editor. Comments and documentation is the key. I try to teach that to my students and, some of them at least, appreciate it. Here is a paper that can change this to the better without […]
    Miroslaw Staron
  • Log files and anomalies, once again… December 8, 2023
    https://arxiv.org/pdf/2308.09324.pdf I’ve written about log files a while back, but I think I’m getting hooked up onto the topic. It is actually quite interesting how to use it in practice. So, here is one more paper from the ASE 2023 conference. This paper presents a new way to create log data that can help spot […]
    Miroslaw Staron
  • Vulnerability detection – addressing the #1 problem December 1, 2023
    https://arxiv.org/pdf/2308.10523.pdf One of the major issues with vulnerability detection in source code is the unbalanced data. Although there is a lot of known vulnerabilities, the examples of them are rather scarce. SonarQube, as a tool, can detect only ca. 30 vulnerabilities out of over 200,000 existing ones. This paper is about making the job of […]
    Miroslaw Staron

Theme 3, Leader: Miroslaw Staron

Miroslaw Staron
Professor, Software Engineering division, Department of Computer Science and Engineering, University of Gothenburg

More information

Miroslaw.Staron@cse.gu.se

Phone: +46 31 772 10 81