Engineers and scientists love to measure. We measure complexity of software, its performance, size and maintainability (just to name a few). We need these measurements in order to construct software, manage organizations or release high quality, high reliable products. However, there is a difference between measuring software aspects and using the measures in decision processes.
In the seminar, Miroslaw Staron, Professor in Software Engineering at the Department of Computer Science and Engineering at Chalmers and University of Gothenburg, Sweden and Wilhelm Meding, MSc EE, Quality Manager at Ericsson presented the concept of measurement program, measurement system, information quality and indicator-triggered decisions. They also talked about what consider when setting up measurement programs and provide a hints about the costs and benefits of having the program. The seminar ended with a presentation of recent research results from Software Center, where they combine measurements and machine learning to speed-up software development.
