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  1. What is Analytics in FireFlink?

Analytics is a systematic computational analysis of suite data or suite statistics, which contains brief information about suites.

  1. Navigation steps to “Analytics”.
  • Login to Fireflink.
  • The user will be landed on the All Projects level Project Menu.
  • Users can navigate to individual projects either by creating new ones or by selecting existing ones.
  • The analytics section can be found in the left navigation panel after navigating to an individual project.
  • The analytics section should not display before executing the suite.
  • Users can see the empty analytics as shown in the below screen, which has no suites executed.

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  • Once you create and run a suite, it will appear in the analytics section, as shown below.

  • Analytics” provides detailed information about the suites.
  • Here we can check the status and efficiency of the suites as shown in the above graphical representation.

Under Analytics, users can use various filters, such as:

  1. Time Period
  • After execution, if a user navigates to the Analytics section, in expand time period component, by default it will select the last 7 days’ radio button and it will display the last 7 days of the analytics report.
  • Users can choose whether they want last month’s analytics report, the last 3 months’ analytics report, or last year’s analytics report.
  • Users can also get the reports for the duration by selecting “From date” and “To date”.
  1. Suite (Total suites: 0)
  • Whenever the user expands the suite component, it will display all the suite files which are executed.
  • Users can select any one of the suites to get analytics.
  1. Environment
  • It will display the Execution environments such as Local, Browser stack, etc.
  • Users can select the environment just by clicking on the checkbox of the particular environment in which execution has to be done.
  1. Operating System
  • It will display all the OS like Windows, Linux, and, iOS.
  • Users can select the operating system by clicking on the check box.
  1. Browser
  • All the browsers like Google Chrome, Opera, Microsoft Edge, and Mozilla Firefox will be displayed in the browser section.
  • Users can select the browser just by clicking on the check box.

Analytic – Suites

1. Scripts Trend graph

  • Based on the time period and suite selected, the script trend will display the graph.
  • When the user hovers the mouse on the line graph, it will display a tooltip stating Passed, failed, Warning, Skipped, and Flaky scripts as shown in the below design.

  • Whenever the user clicks on the passed scripts tab, the passed scripts list table will be displayed below the tab as shown in the above picture.

Note: If the user wants to get into Failed scripts, warning scripts, skipped scripts, or Flaky scripts tables then, they just have to click on a particular tab.

2. Top Failures

  • The top Failures section is represented by the bar graph and in the form of the Failure Rate.
  • Where bar graph displays the ratio of the number of scripts proportional to the failure rate.
  • The failure rate table displays the failed scripts, as per the selecting percentage of the bar graph as shown below.

  1. Non-Tagged Scripts
  • Non-tagged scripts are represented by gauge graphs and in the form of a table chart.
  • Whereas in the gauge graph percentage of the non-tagged scripts will be displayed.
  • In the table, the chart displays the non-tagged scripts and the table contains Name, Path, and Steps Are Tagged columns (It displays the number of steps tagged in the scripts) as shown below.

  1. Tagged Scripts
  • The tagged scripts section is represented by the donut graph and in the form of a Tag table.
  • Whereas, the donut graph displays the percentage of the tag which is mentioned in the scripts.
  • The tag table chart displays the tagged steps and the table contains Name, Path, and Steps Are Tagged as shown below.

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