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DZone > Agile Zone > Test Analytics Accelerates Testing and Release Processes

Test Analytics Accelerates Testing and Release Processes

Supports testing initiatives by providing near real-time, multi-dimensional analysis of tests, enabling teams to release software faster

Tom Smith user avatar by
Tom Smith
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Jun. 02, 17 · Agile Zone · News
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Lubos Parobek, V.P. of Product and Ken Drachnik, Director of Product Marketing, at Sauce Labs, Inc. just shared Test Analytics, the latest addition to the Sauce Labs Automated Testing Cloud with me. The latest release provides users with near real-time, multi-dimensional test analytics to optimize resources and release software and apps faster.

“With modern development teams often distributed across the globe, it is difficult to obtain insights into testing behaviors and patterns in a way that make sense,” said Lubos. “Sauce Labs Test Analytics addresses this need, providing users the insights to optimize their tests, release software faster, and drive CI/CD and DevOps initiatives forward.”

Sauce Labs Test Analytics brings analytics to everyone - including executives, developers, test engineers and QA teams. The platform allows users to dig deep into test results to identify critical trends. Executives can leverage a high-level dashboard to get an overview of test coverage, feature readiness, and releases, while more technical users can easily narrow down into individual tests to identify common failures.

Key benefits of Sauce Labs Test Analytics include:

Quick Analysis of Data 

Features an interactive click and drag GUI, providing visualization of test metrics such as the number of tests, pass/fail and error rates, and more. Users can identify trends and make changes to code or practices to increase pass rates and speed code releases. 

Easy Access to Build and Test Statistics

Empowers users to dig deeper into builds and test failures. By knowing the underlying cause of test failures in aggregate, steps can be taken to resolve problems that impact the largest number of tests, speeding up the overall process. 

Ability to Identify Errors with the Help of Multidimensional Filters 

Provides quick insight into success/failure rates by build, platform, browser, department, or user. Users can drill down to specific test problem areas, with five-second granularity, to identify the root cause of systemic testing errors, and compare app stability on the latest platforms.

Optimize Tests to Maximize Efficiency

This tool lets users view the level of parallelization of their tests along with concurrency usage. By optimizing tests that run in parallel, you can execute more test cases faster, and use Sauce concurrency more efficiently.

Powerful REST API 

Analytics test trend data is also available for consumption via Sauce Labs’ REST APIs. Users can aggregate analytics data into their home-grown dashboard or test analytics tools, providing a unified view of test data. 

Sauce Labs provides a high-performance, cloud-based automated testing platform that is optimized for continuous integration (CI) and continuous delivery (CD) workflows. When tests are automated and run in parallel on virtual machines or real devices, testing time is significantly reduced and IT teams no longer need to devote time to managing testing infrastructure. When paired with a CI system, multiple development teams can instantly provision scalable resources to test web, hybrid, and native applications, continuously and affordably. Sauce Labs currently supports more than 800 browser, operating system, and device combinations.

“Using Sauce Labs Test Analytics, it is exciting to visually see what our test statistics look like. The new analytics will help us dig deeper into finding, isolating and resolving test issues in near real-time so that we can work to release faster,” said Michael Millage, automation architect of a large healthcare provider. 

“Sauce Labs Test Analytics has helped our team become more proactive. It offers a one-stop place for organizing insight into test errors and issues various members of our team were running into so that we can track down the causes of test failures faster,” said Manoj Pahuja, test architect at GoDaddy.

Testing Analytics Release (agency) CI/CD

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