Succeeding with large scale measurement programs

This week we had the possibility to give a webinar about how to work with large scale measurement programs. The webinar was dedicated for everyone who works with software metrics and would like to get more impact from that work.

It is not so much about the numbers, it is about the impact and what the numbers mean. The webinar that we present, provides a good understanding of how to make this impact. Based on our experiences, we chose all one needs to know to implement a measurement program in few weeks rather than years.

The webinar has been recorded and is available at this link:

Recording from the webinar about how to succeed with measurement programs.

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, manager 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 this talk, we present the concept of measurement program, measurement system, information quality and indicator-triggered decisions. We show what to consider when setting up measurement programs and provide a hints about the costs and benefits of having the program. We end the talk with presenting recent research results from Software Center, where we combine measurements and machine learning to speed-up software development.

More materials about this are available here:

A while back we gave a webinar with a similar title, where we focused on the questions concerning the measurement infrastructure, visualization and assessment of the measurement program. The ACM webinar is presented here: