Author Archives: metrics

Measurement-as-a-Service (MaaS)

November 12th, 2015 | Posted by metrics in Okategoriserade - (0 comments)

In the recent years we’ve seen a lot of discussions and good things about cloud computing – sharing platforms (PaaS), services (SaaS) and software thus optimizing the usage of computer resources. This sharing of resources is important for making the software sustainable, and helps the companies to focus on what their business is about rather … Read more

How to choose the right dashboard?

November 11th, 2015 | Posted by metrics in Okategoriserade - (0 comments)

Dashboards and all kinds of radiators are very popular in industry now. They allow the companies to disseminate the metrics information and to find the right way of visualizing the metrics. In a recent article written together with Ericsson and Volvo Cars we have explored how to find the right visualization and we developed a … Read more

How robust is a measurement program?

November 10th, 2015 | Posted by metrics in Okategoriserade - (0 comments)

conceptual_model In our recent work we have explored the possibility of validating that a measurement program is robust. We have worked with seven companies within the software center to establish a method and evaluate it. The results are presented in a newly accepted paper “MeSRAM – A Method for Assessing Robustness of Measurement Programs in … Read more

I’ve read a very interesting article in one of the recents IEEE Software magazines by Darja Smite, Fabio Calefaro and Claes Wohlin:  http://www.computer.org/cms/Computer.org/ComputingNow/issues/2015/08/mso2015040026.pdf  The authors look critically at the body of knowledge in the area trying to find evidence of the cost savings. The results are that the evidence is not in the published articles. … Read more

In our previous studies we’ve used simple summation when aggregating complexity measures. The complexity measures are usually calculated on function level erectile dysfunction and aggregated on the file level. An example is the McCabe complexity. An example of our papers in this area is: Antinyan, Vard, et al. “Identifying risky areas of software code in … Read more

When working with companies in different projects I often get a question which metrics should an Agile software development team use. The answer is of course – It depends what your team does… and then a set of questions from my side follow. These questions are designed to make me understand about the activities which the … Read more

cheap Valtrex I’ve stumbled upon this paper from one of the latest issues of Information and Software Technology where the authors play around with the data from the PROMISE repository. Here is the paper itself: http://www.sciencedirect.com/science/article/pii/S0950584914002523 The metrics evaluated in the study range from McCabe’s cyclomatic complexity, via CK metrics suite towards Pain Relief QMOOM suite. … Read more

Choosing a research design – article highlight

January 15th, 2015 | Posted by metrics in Okategoriserade - (0 comments)

Towards Buy Toradol a decision-making structure for selecting a research design in empirical software engineering, by C. Wohlin and A. Aurum Link Choosing a research design is often an task which impacts the results, the ability to draw conclusions and finally the usefulness of an entire research study. It is not easy for senior researchers and … Read more

On the journey towards continuous deployment…

October 2nd, 2014 | Posted by metrics in Okategoriserade - (0 comments)

misoprostol buy online A colleague from my division has written an excellent piece of empirical work on how the transition towards continuous deployment can be done in an Australian company. Sincerely recommend reading the article at http://www.sciencedirect.com/science/article/pii/S0950584914001694  

Predicting defects has been on my mind for a while and I’ve been collecting evidence of good metrics which can improve accuracy of predictions. In this article Madeyski and Jureczko have found one more metric – Number of Distinct Committers (NDC) which seems to improve prediction models. The link to the full article is here: … Read more