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 … Read more →

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 … Read more →

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 … Read more →

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 … Read more →

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 … Read more →

The hot summer in Europe provided a lot of time for relaxation and contemplation:) I’ve spent some of the warm days reading some articles for the upcoming SEAA session on software analytics, which is a follow up of the special issue of IST: https://doi.org/10.1016/j.infsof.2018.03.001  Software analytics, simply put, is using data and its visualisation to make … Read more →

Our Software Center project has worked with a number of companies to increase the impact of KPIs in modern organizations. Although the concept of KPI has been around since the 90s, many organizations still struggle with making KPIs actionable. In this post, I’ll show the results of one of the recent assessments of KPIs. To … Read more →

Recently, I had an interesting discussion about code qualities that are seldom part of software research. An example of such quality is readability, which is the degree to which we can read the code correctly. Low readability does not need to lead to defects in the code, but in the long run it does. In … Read more →

During the weekend I did some digging into the quality of measurement, in particular, I tried to answer a question from a colleague on measurement accuracy limits. Well, instead of digging into the accuracy, I managed to look at the validation of measures in general. I’ve been searching for methods how people evaluate software measures … Read more →

I’ve came across an interesting article summarizing the recent developments of continuous software engineering and related fields. The research has been done by Brian Fitzgerald and his colleagues from LERO: https://doi.org/10.1016/j.jss.2015.06.063 I recommend reading this article and here, I just put some thoughts that interested me: Feature analytics is still important and will remain important … Read more →