Metrics blog

• How good is your measurement program? November 19, 2018
  One of our work – the MESRAM model for assessing the quality of measurement programs – has been used by our colleagues to evaluate measurement programs at two different companies: https://doi.org/10.1016/j.infsof.2018.06.006 The paper shows how easy it is to use the model and that it provides very nice results in terms of how well they […]
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• Trailer about the metrics project November 15, 2018
  Dissemination of research results in the age of YouTube is not very easy. I would say it’s quite impossible. That’s why I’ve tried to make it a bit more interesting and made this trailer with the use of iMovie. It’s my first edited video, so please be nice to it! The link to the video […]
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• Software center metrics day – reflections… November 4, 2018
  This year, the Software Center Metrics Day took place in the end of October, just a few days before the autumn break. The program included a mix of talked from academia and industry, https://www.software-center.se/research-themes/technology-themes/development-metrics/metrics-day-2018-metrics-software-analytics-and-machine-learning/, and was focused on the recent developments of the metrics area. What I’ve learned from the event was that it is […]
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• Using Deep Learning to Understand code October 30, 2018
  One of our software center activities is focused on reducing the effort that the designers spend on code analysis and quality assurance. In this project we are looking at creating a model for high and low quality code – in general. Now I’ve come across this nice paper about using deep learning for finding whether […]
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• Software data fuels AI, ML and Software Analytics August 25, 2018
  I’ve talked about software analytics in the previous post, in particular the latest issue of IEEE Software. In this post, let me introduce an interesting book for software engineers and software engineering scientists interested in software analytics: Bird, C., Menzies, T., & Zimmermann, T. (Eds.). (2015). The Art and Science of Analyzing Software Data. Elsevier. After […]
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