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We have tried to capture such metrics like \\n* percentage of tests that fixed over time, \\n* how many times was a build/test run before a failing test started to pass\\n* how much time did it take before a failing test started to pass\\n* what percentage of tests resulted in a `fail` to `pass` transition or `pass` to `fail` transition.\",\"height\":21,\"width\":12},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"ROW-CX7A4V_WFN\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-9Re4GirTtp\":{\"children\":[],\"id\":\"MARKDOWN-9Re4GirTtp\",\"meta\":{\"code\":\"Sometimes, these tests/build runs take a lot longer than expected to run and finish. \\n\\n\\nSo let's try to look into what are the usual durations of these tests and then we shall look into identifying what is an **Optimal Stopping Point**\",\"height\":14,\"width\":12},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"ROW-2rx9mWAl_Q\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-JNUPPcXwS1\":{\"children\":[],\"id\":\"MARKDOWN-JNUPPcXwS1\",\"meta\":{\"code\":\"### Average test duration \\nWhat is the average running time of test over multiple runs\\n\",\"height\":53,\"width\":3},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-X4bgVGeXD1\",\"TAB-Dhr6CM_Wvu\",\"ROW-lkKfwN5-k\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-OyaCmkdJw5\":{\"children\":[],\"id\":\"MARKDOWN-OyaCmkdJw5\",\"meta\":{\"code\":\"Every time an individual contributor adds a Pull Request to a github repository, the PR is subject to a certain tests and build runs before the PR is merged into the codebase. Testgrid mainly collects this information and displays it a 2-D format, and presents the important information like what all tests/build runs were done on a certain PR, how many of them were passing or failing. So, by extracting this information we have calculated the following metrics.\",\"height\":16,\"width\":12},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"ROW-5DA0qd2dRU\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-Qu0zyimYTv\":{\"children\":[],\"id\":\"MARKDOWN-Qu0zyimYTv\",\"meta\":{\"code\":\"# Passing Distribution\\n\\n\\\"Passing-Dist\\\"\\n\\n**Passing Distribution**\\n\\nThe top 2 distributions based on betterment of fit are **Pearson distribution** and **Weibull Min distribution**. \\n\\n* **The Histogram plot** - shows the distribution of test duration values over all the data points. \\n* **The Pearson and Weibull Min graphs** - are density plots which are a smoothed, continuous version of a histogram estimated from the data. It plots the probability density function (along Y-axis) vs the test duration values (along X-axis). \\n\\n

    \\n\\n**Probability Density Plots**\\n\\nProbability density plots are used to understand data distribution for a continuous variable and we want to know the likelihood (or probability) of obtaining a range of values that the continuous variable can assume. The area under the curve contains the probabilities for the test duration values.\\n\\n

    \\n\\n# Failure Distribution\\n\\n

    \\n\\n\\n\\\"Failing-Dist\\\"\\n\\n**Failure Distribution**\\n\\nThe top 2 distributions based on betterment of fit are **Inverse Gaussian distribution** and **Log Normal distribution**. Let's plot the graphs for these two distributions.\\n\\n* **The Histogram plot** - shows the distribution of test duration values over all the data points. \\n* **The Inverse Gaussian and Log Normal graphs** - are density plots which are a smoothed, continuous version of a histogram estimated from the data. It plots the probability density function (along Y-axis) vs the test duration values (along X-axis).\\n\\n\\n\",\"height\":119,\"width\":12},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"ROW-q9deCbg-63\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-Vy4ADUtWM5\":{\"children\":[],\"id\":\"MARKDOWN-Vy4ADUtWM5\",\"meta\":{\"code\":\"## Percentage of Tests Fixed Over Time\\n\\nSome tests that are failing in the previous test run can get fixed in the next test run. This metric calculates the percentage of tests that were fixed over time.\",\"height\":50,\"width\":4},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-53G2hHzJ6X\",\"TAB-gfJCahtgMN\",\"ROW-VEtqfOIKo\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-c09kBzu3wM\":{\"children\":[],\"id\":\"MARKDOWN-c09kBzu3wM\",\"meta\":{\"code\":\"### Mean Time To Fix\\n\\nHow much time did it take before a failing test started to pass.\",\"height\":35,\"width\":3},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-53G2hHzJ6X\",\"TAB-UHGlqoKvn\",\"ROW-B3v-09uzFZ\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-cg4AnGa9AE\":{\"children\":[],\"id\":\"MARKDOWN-cg4AnGa9AE\",\"meta\":{\"code\":\"# Dashboard Overview\\n\\n## AI4CI: AI for Continuous Integration\\n\\nOne major component of the software development and operations workflow is Continuous Integration (CI), which involves running automated builds and tests of software before it is merged into a production code base. OpenShift, Kubernetes and a few other platforms have made their CI data public. Our aim is to cultivate open source AIOps projects by developing, integrating and operating AI tools for CI by leveraging the open data that has been made available by OpenShift, Kubernetes and others.\\n\\n## KPI Metrics\\n\\nIn order to measure the effectiveness and quality of our CI testing process, we need to establish the relevant key performance indicators, or KPIs. These KPIs can not only help us evaluate any AI-based enhancements we make to the CI processes, but also pinpoint what specific areas need the most improvement and therefore should be devoted resources to. **In this dashboard, we will visualize some of the important KPIs that help us to understand the CI testing process in more depth.**\\n\\n## Data Sources\\n\\nWe mainly collect, explore and analyze the **TestGrid** data source, as well as log output from OpenShift CI. **TestGrid is a highly-configurable, interactive dashboard for viewing your test results in a grid.**\\n\",\"height\":47,\"width\":12},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"ROW-gi4TcbJQJd\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-eBbeky0VaS\":{\"children\":[],\"id\":\"MARKDOWN-eBbeky0VaS\",\"meta\":{\"code\":\"# Optimal Stopping Point Distributions\\n\\n\\\"Screen-Shot-2022-08-18-at-11-42-15-AM\\\"\\n\\n\\n

    \\n\\nFrom the graph, we see that **passing tests (orange line)** have a narrower range and smaller std, with an expected run time of between 20 and 110 seconds. \\n\\n**Failing tests (blue line)** are much less reliable with a run time spanning from 0 to 240 seconds. From this graph, we can claim that a **test run longer than ~72 seconds starts to have an increased probability of being a failure** and hence can be considered as an **optimal stopping point.**\",\"height\":70,\"width\":12},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"ROW-gP8XRtcFo\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-kwvoK0FYE8\":{\"children\":[],\"id\":\"MARKDOWN-kwvoK0FYE8\",\"meta\":{\"code\":\"### Pass To Fail Rate\\n\\nWhat percentage of test runs resulted in a \\u201cpass\\u201d to \\u201cfail\\u201d transition.\",\"height\":34,\"width\":3},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-53G2hHzJ6X\",\"TAB-UHGlqoKvn\",\"ROW-74mReX9Dm\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-n6SzIppe8c\":{\"children\":[],\"id\":\"MARKDOWN-n6SzIppe8c\",\"meta\":{\"code\":\"### Fail To Pass Rate\\n\\nWhat percentage of test runs resulted in a \\u201cfail\\u201d to \\u201cpass\\u201d transition.\",\"height\":34,\"width\":3},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-53G2hHzJ6X\",\"TAB-UHGlqoKvn\",\"ROW-74mReX9Dm\"],\"type\":\"MARKDOWN\"},\"MARKDOWN-nD04Pkev9J\":{\"children\":[],\"id\":\"MARKDOWN-nD04Pkev9J\",\"meta\":{\"code\":\"### Dashboard Filters\\n\\nWe have the following filters that can used to select:\\n\\n* **Tabs** - Select a specific dashboard tab from TestGrid \\n* **Grids** - Select a specific grid from TestGrid\\n* **Tests** - Select a specific test to analyze\",\"height\":24,\"width\":12},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"ROW-kn1oT5KoNv\"],\"type\":\"MARKDOWN\"},\"ROOT_ID\":{\"children\":[\"GRID_ID\"],\"id\":\"ROOT_ID\",\"type\":\"ROOT\"},\"ROW-13x64bB6FA\":{\"children\":[\"CHART-d0Y1NHJWt4\"],\"id\":\"ROW-13x64bB6FA\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-AACBYa--75\",\"TAB-iOACx3-LX\"],\"type\":\"ROW\"},\"ROW-2rx9mWAl_Q\":{\"children\":[\"MARKDOWN-9Re4GirTtp\"],\"id\":\"ROW-2rx9mWAl_Q\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\"],\"type\":\"ROW\"},\"ROW-3xmxJ25xi5\":{\"children\":[\"CHART-cxCtUqoxnB\",\"CHART-hhj82FiId6\"],\"id\":\"ROW-3xmxJ25xi5\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-AACBYa--75\",\"TAB-p8AloJGFA4\"],\"type\":\"ROW\"},\"ROW-5DA0qd2dRU\":{\"children\":[\"MARKDOWN-OyaCmkdJw5\"],\"id\":\"ROW-5DA0qd2dRU\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\"],\"type\":\"ROW\"},\"ROW-74mReX9Dm\":{\"children\":[\"MARKDOWN-n6SzIppe8c\",\"CHART-BWWpBYhJVu\",\"MARKDOWN-kwvoK0FYE8\",\"CHART-5QIhbqtvY-\"],\"id\":\"ROW-74mReX9Dm\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-53G2hHzJ6X\",\"TAB-UHGlqoKvn\"],\"type\":\"ROW\"},\"ROW-7wlKyo9Y6_\":{\"children\":[\"CHART-_U0EtlyonR\",\"CHART-WQeNiSGMh0\",\"CHART-zkgG0HaRFG\"],\"id\":\"ROW-7wlKyo9Y6_\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-AACBYa--75\",\"TAB-p8AloJGFA4\"],\"type\":\"ROW\"},\"ROW-B3v-09uzFZ\":{\"children\":[\"MARKDOWN-0MQkc56llr\",\"CHART-O7TNUhgWko\",\"MARKDOWN-c09kBzu3wM\",\"CHART-H8SQkln9Z-\"],\"id\":\"ROW-B3v-09uzFZ\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-53G2hHzJ6X\",\"TAB-UHGlqoKvn\"],\"type\":\"ROW\"},\"ROW-CX7A4V_WFN\":{\"children\":[\"MARKDOWN-5tsZb66OHX\"],\"id\":\"ROW-CX7A4V_WFN\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\"],\"type\":\"ROW\"},\"ROW-VEtqfOIKo\":{\"children\":[\"MARKDOWN-Vy4ADUtWM5\",\"CHART-ByMpWwKjgr\"],\"id\":\"ROW-VEtqfOIKo\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-53G2hHzJ6X\",\"TAB-gfJCahtgMN\"],\"type\":\"ROW\"},\"ROW-Vdh9fdYX11\":{\"children\":[\"MARKDOWN--Z6lAU4DDr\",\"CHART-IzCWE6kTFJ\"],\"id\":\"ROW-Vdh9fdYX11\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-X4bgVGeXD1\",\"TAB-Dhr6CM_Wvu\"],\"type\":\"ROW\"},\"ROW-X5l14mrFf7\":{\"children\":[\"CHART-UlquIYLVhy\",\"CHART-foFXpniLji\",\"CHART-kiievd65mC\"],\"id\":\"ROW-X5l14mrFf7\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\"],\"type\":\"ROW\"},\"ROW-gP8XRtcFo\":{\"children\":[\"MARKDOWN-eBbeky0VaS\"],\"id\":\"ROW-gP8XRtcFo\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\"],\"type\":\"ROW\"},\"ROW-gi4TcbJQJd\":{\"children\":[\"MARKDOWN-cg4AnGa9AE\"],\"id\":\"ROW-gi4TcbJQJd\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\"],\"type\":\"ROW\"},\"ROW-kiQFYmUfoe\":{\"children\":[\"CHART-5UnRH3qPG7\",\"CHART-0UwgUwA0sw\",\"CHART-bU5PCxPYwV\"],\"id\":\"ROW-kiQFYmUfoe\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-AACBYa--75\",\"TAB-iOACx3-LX\"],\"type\":\"ROW\"},\"ROW-kn1oT5KoNv\":{\"children\":[\"MARKDOWN-nD04Pkev9J\"],\"id\":\"ROW-kn1oT5KoNv\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\"],\"type\":\"ROW\"},\"ROW-lkKfwN5-k\":{\"children\":[\"MARKDOWN-JNUPPcXwS1\",\"CHART-_KJgaOMMEz\"],\"id\":\"ROW-lkKfwN5-k\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\",\"TABS-X4bgVGeXD1\",\"TAB-Dhr6CM_Wvu\"],\"type\":\"ROW\"},\"ROW-q9deCbg-63\":{\"children\":[\"MARKDOWN-Qu0zyimYTv\"],\"id\":\"ROW-q9deCbg-63\",\"meta\":{\"background\":\"BACKGROUND_TRANSPARENT\"},\"parents\":[\"ROOT_ID\",\"GRID_ID\"],\"type\":\"ROW\"},\"TAB-Dhr6CM_Wvu\":{\"children\":[\"ROW-Vdh9fdYX11\",\"ROW-lkKfwN5-k\"],\"id\":\"TAB-Dhr6CM_Wvu\",\"meta\":{\"defaultText\":\"Tab 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"table", + "id": 28, + "params": "{\"adhoc_filters\": [], \"datasource\": \"8__table\", \"date_filter\": false, \"filter_configs\": [{\"asc\": true, \"clearable\": true, \"column\": \"tab\", \"key\": \"dxgyRFMFh\", \"multiple\": true, \"searchAllOptions\": false}], \"granularity_sqla\": \"timestamp\", \"instant_filtering\": true, \"slice_id\": 55, \"time_grain_sqla\": \"P1D\", \"time_range\": \"No filter\", \"time_range_endpoints\": [\"inclusive\", \"exclusive\"], \"url_params\": {}, \"viz_type\": \"filter_box\", \"remote_id\": 28, \"datasource_name\": \"test_pass_failures\", \"schema\": \"default\", \"database_name\": \"Trino\", \"import_time\": 1654106171}", + "query_context": null, + "slice_name": "Tabs", + "viz_type": "filter_box" + } + }, + { + "__Slice__": { + "cache_timeout": null, + "datasource_name": "default.test_pass_failures", + "datasource_type": "table", + "id": 48, + "params": "{\"adhoc_filters\": [], \"datasource\": \"8__table\", \"date_filter\": false, \"filter_configs\": [{\"asc\": true, \"clearable\": true, \"column\": \"test\", \"key\": \"TdMcAiEQh\", \"multiple\": true, \"searchAllOptions\": false}], \"granularity_sqla\": \"timestamp\", \"instant_filtering\": true, \"slice_id\": 75, \"time_grain_sqla\": \"P1D\", \"time_range\": \"No filter\", \"time_range_endpoints\": [\"inclusive\", \"exclusive\"], \"url_params\": {}, \"viz_type\": \"filter_box\", \"remote_id\": 48, \"datasource_name\": \"test_pass_failures\", \"schema\": \"default\", \"database_name\": \"Trino\", \"import_time\": 1654106171}", + "query_context": null, + "slice_name": "Tests", + "viz_type": "filter_box" + } + }, + { + "__Slice__": { + "cache_timeout": null, + "datasource_name": "default.test_pass_failures", + "datasource_type": "table", + "id": 50, + "params": "{\"adhoc_filters\": [], \"datasource\": \"8__table\", \"date_filter\": false, \"filter_configs\": [{\"asc\": true, \"clearable\": true, \"column\": \"grid\", \"key\": \"QeH1-FnGV\", \"multiple\": true, 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