Closed aakankshaduggal closed 1 year ago
Submitted to #68
Accepted in DevConf.US #62
Submitted to #76
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@sesheta: Closing this issue.
Overview Longer running tests are often painful as they can block the CI/CD process for lengthy periods of time. How can we optimize the running time of our tests and prevent bottlenecks in our CI/CD pipeline? By understanding the test failure times, we aim to predict an Optimal Stopping Point for a test/build by training a machine learning model to help developers and managers better allocate the development resources, and ensure efficiency, consistency, and transparency for manual and time-consuming processes.
Speakers @hemajv @aakankshaduggal
What conference(s) are you submitting this proposal to?
62 #23
Project repo link, or other relevant resources https://www.operate-first.cloud/data-science/ai4ci/docs/content.md#optimal-stopping-point-prediction
Link to abstract https://cfp.devconf.info/proposals/40/3711
Was this proposal accepted?