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Mark Miller commented on SOLR-10032: ------------------------------------ In other words: I am looking for tests that fail in a medium challenging but resource plentiful scenario first. Once we have a handle on those tests, there are steps we can take to improve hunting for deeper issues. > Create report to assess Solr test quality at a commit point. > ------------------------------------------------------------ > > Key: SOLR-10032 > URL: https://issues.apache.org/jira/browse/SOLR-10032 > Project: Solr > Issue Type: Task > Security Level: Public(Default Security Level. Issues are Public) > Components: Tests > Reporter: Mark Miller > Assignee: Mark Miller > Attachments: Lucene-Solr Master Test Beast Results > 01-24-2017-9899cbd031dc3fc37a384b1f9e2b379e90a9a3a6 Level Medium- Running 30 > iterations, 12 at a time .pdf, Lucene-Solr Master Test Beasults > 02-01-2017-bbc455de195c83d9f807980b510fa46018f33b1b Level Medium- Running 30 > iterations, 10 at a time.pdf > > > We have many Jenkins instances blasting tests, some official, some policeman, > I and others have or had their own, and the email trail proves the power of > the Jenkins cluster to find test fails. > However, I still have a very hard time with some basic questions: > what tests are flakey right now? which test fails actually affect devs most? > did I break it? was that test already flakey? is that test still flakey? what > are our worst tests right now? is that test getting better or worse? > We really need a way to see exactly what tests are the problem, not because > of OS or environmental issues, but more basic test quality issues. Which > tests are flakey and how flakey are they at any point in time. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org