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:

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

Software-on-demand – experiments September 4, 2025
miroslawstaron/screenPong miroslawstaron/screenTerminal I was keen on testing the Software-on-demand hypothesis advocated by OpenAI in their last keynote, but it took me a moment to see how to test it. Then, I realized that I could work with creating screensavers based on my ideas. Not the ones that change images, we don’t need AI for that. […]
Miroslaw Staron
Measuring AI August 20, 2025
How Do You Measure AI? | Communications of the ACM Due to my background in software metrics, I’ve been interested about measurement of AI systems for a while. What I found is that there are benchmarks and suites of metrics used for measurement of AI. But…. When GPT-5 was announced, most of the metrics that […]
Miroslaw Staron
Software on Demand: from IDEs to Intent August 14, 2025
OpenAI’s latest keynote put one idea forward: coding is shifting from writing lines to expressing intent. With GPT-5’s push into agentic workflows—and concrete coding gains on benchmarks like SWE-bench Verified—the “software on demand” era is no longer speculative. You describe behavior; an agent plans, scaffolds, implements, runs tests, and iterates. Humans stay in the loop […]
Miroslaw Staron
GPT-5 – the best and the greatest? August 11, 2025
In the last few days, OpenAI announced their newest model. The model seems to be really good. In fact, it is so good that the increase from the previous ones are in only 1% in some cases (from 98% to 99%). This means that we need better benchmarks to show how the models differ. Well, […]
Miroslaw Staron
Is Quantum the next big thing for the masses? May 9, 2025
But what is quantum computing? (Grover’s Algorithm) If you are looking at the quantum computing, and you are a programmer, people start “dumbing-it-down” for you with telling about superpositions and multiple bits in one. Well, not entirely true and this is a misconception. In this video, the author explains how quantum works, based on the […]
Miroslaw Staron

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Metrics blog

Theme 3, Leader: Miroslaw Staron