Session

Visualizing Quality: Appium Dashboard in Action

Why Do We Need Insightful Dashboards in Appium?
The Problem
Automation Bottlenecks Are Hard to Detect:

Locators like XPath or Accessibility IDs can slow down test execution, but pinpointing the exact underperforming ones is challenging.
Without visibility, debugging test slowness becomes a trial-and-error process.
Data Preparation is a Hidden Time Sink:

Tasks like user creation, environment setup, or data seeding often take significant time during test execution.
Teams lack insights into how much time is spent on these tasks, making it hard to optimize them.
Lack of Granular Performance Metrics:

Most automation reporting tools focus on test pass/fail outcomes but provide little information about where the time is being spent within a test.
This leads to missed opportunities to optimize and streamline the testing process.

appium-command-viz plugin that enhances your test automation workflow by providing detailed insights into script execution performance. By pinpointing bottlenecks in locators and data preparation tasks, this plugin empowers QA teams to optimize their test suites for faster, more reliable execution.

Key Highlights of the Plugin
Locator Performance Analysis:

Visualized metrics for time taken by individual locators (e.g., XPath, Accessibility ID).
Easily identify underperforming locators that are slowing down your automation scripts.
Optimize locator strategies for better script efficiency.
Data Preparation Time Tracking:

Insights into data preparation tasks during test execution (e.g., user creation, test data setup).
Per-test breakdown of time spent on prep activities, helping to isolate inefficiencies.
Example: See how a login test's user creation task is consuming 2 minutes of execution time.
Test-Level Metrics and Trends:

Comprehensive dashboard to visualize performance trends at a test level.
Quickly identify which tests or steps need optimization for maximum ROI.
Actionable Insights:

Pinpoint slow execution points in your automation pipeline.
Empower QA teams to take data-driven actions for improving test performance.

Anil Patidar

LEAD SDET

Bengaluru, India

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