AI-supported Engineering
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:
- Release readiness: measuring the number of weeks that the product development team needs to release the product (Agile): Release Readiness Indicator for Mature Agile and Lean Software Development Projects | SpringerLink
- Change waves: measuring the impact of a change on software product: Identifying Implicit Architectural Dependencies Using Measures of Source Code Change Waves | IEEE Conference Publication | IEEE Xplore
- Defect inflow: predicting the number of defects that the development team needs to handle in the coming weeks: Predicting weekly defect inflow in large software projects based on project planning and test status – ScienceDirect
- Code quality: measuring and improving the impact of coding practices on software quality: Recognizing lines of code violating company-specific coding guidelines using machine learning | SpringerLink
- Engineering level: measuring the quality of code in a git repository: PHANTOM: Curating GitHub for engineered software projects using time-series clustering (springer.com)
- SimSAX project similarity: measuring the similarity of projects, for example to monitor the process evolution: LegacyPro—A DNA-Inspired Method for Identifying Process Legacies in Software Development Organizations | IEEE Journals & Magazine | IEEE Xplore, and Simsax: A measure of project similarity based on symbolic approximation method and software defect inflow – ScienceDirect
- MeTEAM: measuring the maturity of software metric teams: MeTeaM—A method for characterizing mature software metrics teams – ScienceDirect
- MESRAM: measuring the quality and quantity of measurement programs: MeSRAM – A method for assessing robustness of measurement programs in large software development organizations and its industrial evaluation – ScienceDirect
Projects
- Continuous Product and Organizational Performance
- Stakeholder Communication
- Associated: MicroHRV
- Associated: T4AI
- Associated: Develop
- Finished: Quasar@Car – Quantifying meta-model changes
- Finished: VISEE – Verification and Validation of ISO 26262 requirements at the complete EE system level
- Finished: Longitudinal Measurement of Agility and Group Development
- Finished: Size and Quality between Software Development Approaches
- Finished: RAWFP – Resource Aware Functional Programming
Theme 3 Leader: 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
Metrics Blog
- AI, AI and one more time AI January 15, 2025AI has transformed the way we develop software and create new products. It is here to stay and it will just grow bigger. This year, one of the important events is CES where the Nvidia’s CEO shows the latest developments. Well, no surprise that generative AI is the key. Generating frames, worlds, programs, dialogs, agents, […]Miroslaw Staron
- Let’s make 2025 an Action Research year! January 8, 2025Image by Haeruman from Pixabay Guidelines for Conducting Action Research Studies in Software Engineering Happy 2025! Let’s make it a great year full of fantastic research results and great products. How to achieve that goal? Well, let’s take a look at this paper about guidelines for conducting action research. These guidelines are based on my experiences with working […]Miroslaw Staron
- Ai should challenge… December 29, 2024https://dl.acm.org/doi/full/10.1145/3649404 We often talk about GenAI as it is going to replace us. Well, maybe it will, but given what I saw in programming, it will not happen tomorrow. GenAI is good at supporting and co-piloting human programmers and software engineers, but it does not solve complex problems such as architectural design or algorithm design. […]Miroslaw Staron
- What developers want from AI… December 21, 2024https://dl.acm.org/doi/10.1145/3690928 In this time just before X-Mas, I sat down to read the latest issue of the Communications of the ACM. There are a few very interesting articles there, starting from a piece from Moshe Verdi on the concept of theoretical computer science, through an interesting piece of text on artificial AI to a very […]Miroslaw Staron
- Nexus… book review December 6, 2024Nexus : en kort historik över informationsnätverk från stenåldern till AI : Harari, Yuval Noah, Retzlaff, Joachim: Amazon.se: Böcker I’m a big fan of Yuval Noah Harari’s work. A professor who can write books like no one else, one of my role models. I’ve read Sapiens, Homo Deus and 21 Lessons… now it was time […]Miroslaw Staron
- Quantum software engineering December 2, 2024IEEE Xplore Full-Text PDF: Quantum computing has been around for a while now. It’s been primarily a playground for physicists and computer scientists close to mathematics. The major issue was that the error rates and instability of the quantum bits prevented us from using this kind of paradigm on a larger scale (at least how […]Miroslaw Staron
- Software Center and AI – a podcast November 29, 2024Podcasts are not something that I often do, but still. Here is a podcast about AI and how we work with it in Software Center. The podcast is in Swedish, but you can find English subtitles here: https://play.gu.se/media/07.%20Nyfiken%3A%20Miroslaw%20Staron/0_k4i0xsvk/679154Miroslaw Staron
- When it gets too much or Revenge of the Tipping point… November 24, 2024BIld av Katja S. Verhoeven från Pixabay https://www.bokus.com/bok/9780316575805/revenge-of-the-tipping-point-overstories-superspreaders-and-the-rise-of-social-engineering/?utm_campaign=Performance%20Max%20%7C%20English%20%7C%20Rooth&gad_source=1&gclid=Cj0KCQiAuou6BhDhARIsAIfgrn4spmK1A21PF2Luov0HXzMwMFMsTcJKUSsvnIH5UEfxDs_lBz3TOUMaAuLEEALw_wcB I’ve just finished reading this great book about the way in which the tipping point tips to the wrong side. It’s mostly about the law of “The large effect of the few” as Malcolm Gladwell puts it. In short, this law means that in certain situations, it’s […]Miroslaw Staron
- Never eat alone, or else…. October 21, 2024Image by Silviu on the street from Pixabay Never Eat Alone: Keith Tahl Ferrazzi Raz: 9780241004951: Amazon.com: Books In academia, the motto is “publish or perish”, with the emphasis on publishing. It’s for a good reason – we, academics, scholars, researchers, exist in a complex network of dependencies. We need others to get inspiration, understanding […]Miroslaw Staron
- Materials that shape the world (of computing) October 14, 2024Material World: A Substantial Story of Our Past and Future: Ed Conway: 9780753559178: Amazon.com: Books As a software engineer, I take hardware for granted. Moore’s law has taught me that all kind of computing power grows. My experience has taught me that all computing power is then consumed by frameworks, clouds and eventually is not […]Miroslaw Staron
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