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Predicting Failing Tests with Machine Learning

Machine learning can be used to predict how tests behave on changes in the code. These predictions reduce the feedback time to developers by providing information at check-in time. Marco Achtziger & Dr. Gregor Endler presented how they are using machine learning to learn from failures at OOP 2020.

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DNSSEC Signing Potentially Interrupted by Coronoavirus

The internet is underpinned by DNS, which converts textual names like www.infoq.com to IP addresses that computers use for routing. Served over unencrypted and unverified communications, DNS is an easy target for network infiltrators to be able to silently redirect traffic to other hosts. To combat this, DNSSEC was created in RFCs 4033, 4034, and 4035.

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