How many metrics is enough to get reliable defect predictions?

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 QMOOM suite. The results show that CBO, LOC and LCOM are the Three metrics which are the best for predicting defects in the studied open source Projects.

My sincere recommendations to take a look at the paper Before predicting the defect next time!

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Author: Miroslaw Staron

I’m professor in Software Engineering at IT faculty. I usually blog about interesting articles (for me) and my own reflections on the development of Software Engineering, AI, computer science and automotive software.

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