Masking known issues across six kernel CI systems
summary
Kernel CI's KCIDB aggregates results from six kernel CI systems and is working on a way to share and apply masks for known failures so maintainers don't get blamed for unrelated red results. The project plans to collect human- or machine-generated issue descriptions and matchers (e.g., regexes against logs) from maintainers, test authors, or CI operators, and investigate central processing versus letting submitters apply masks themselves. The talk compares how different CI systems currently handle masking, outlines a unified approach for KCIDB, and solicits feedback and ideas.
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