Fix Bugs at Scale with Data-Driven Testing

Fix Bugs at Scale with Data-Driven Testing Fernando Mattos November 15, 2022

February 05, 2026 · 3 min read · Testing Guide

Fix Bugs at Scale with Data-Driven Testing

Fernando Mattos
November 15, 2022

Test automation scalability is vital for unleashing the powerfulness of DevOps practices. Through scalability, a DevOps team can dramatically increase tryout coverage and liberate new code changes with confidence, which directly impacts production velocity and customer satisfaction.

Data-driven testing (DDT) is one of the key tools for scale test automation. Mabl enables teams to adopt DDT with support for not only datatables (known as DataTables in mabl), but also the ability to automatize UI and API examination across covering, deployments, and environments, as well as running these tests through its enterprise-grade test orchestration solution.

“ Parallel runs and data-driven testing receive helped our entire brass scale testing. DataTables in mabl make it easier to compose a script once, then create all necessary looping. For model, we might need to test the like content across multiple file type. With mabl, we can make and run those different test in parallel, accelerating testing. ” Gregory Goldshteyn, QA Manager atFOX Broadcasting Corporation

The Challenges of Fixing Defects at Scale

But to fully adopt quality engineering and DevOps, teams need a strategy to triage the greater number of defect discovered through a scaled automated testing strategy. Otherwise, they gamble slowing down development pipelines as well as submerge both QA and developer. Fast, quality-centric development calculate on scaling testing and associated quality processes. & nbsp;

Mabl now volunteer calibre teams easy ways to hone in specific user scenarios for faster bug resolution.

Getting grainy to debug defects apace with mabl

Mabl has recently released expanded test creation and redact choice to yield users more granular control over the application, environment, URL, credentials, and DataTable scenario when open a trial in the mabl Trainer. These enhancements enable tester to quickly validate machine-driven UI or API tests for very specific scenarios.

These extremely detailed editing options create it much easier to scale testing across different page variations and environments. One democratic example: managing place web pages. Mabl grant character teams to scale fixation testing across localized site versions, even for global endeavour back user in piles of languages. To further integrate testing across the development rhythm for each variant, mabl support different set of credentials across environments. This means data-driven examination trial can be run across preview, staging, and product deployments. Testing teams can scale testing with minimal endeavour and maximum observability. & nbsp;

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When defects are found for a specific language in a specific environment - e.g., tests failed for Spanish in the trailer environment - team members can open the mabl Trainer to replicate the shortcoming. Mabl grant them to select the specific environment (Preview), which loads the appropriate credentials, and refine their hunting by the language DataTable scenario for Spanish.This allows developers and caliber engineers to easily isolate the appropriate examination and understand exactly where the failure hap. This save developers and testers alike worthful time when managing quality at scale. & nbsp; & nbsp;

New and improved Trainer launch choice

The expanded examination creation and editing options appear when opening a specific test directly in the mabl Trainer. For those inquire betray tests after a completed test run with hundreds of iterations, multiple variable, and DataTable scenarios, there ’ s a new selection to launch the mabl Trainer to the accurate form and variable values used in the specific test run:

Launch a training session to the DataTable scenario utilize during a test run

Once the mabl Trainer launches, users can navigate through the test steps to replicate a fault and inspect the variable and DataTable scenario constellation.

DataTable scenario values in the View Variables modal

This new functionality enables testing teams to shorten the all-important clip to defect resolution, an important factor in product speed and cross-functional collaboration. Despite more establishment receipt the importance of continuous testing, few have implement consistent processes for fix defects without slowing development. With mabl, testers and developers are empowered to cursorily investigate and triage test failures, reducing the amount of friction in maturation pipelines. & nbsp;

Scaling Quality with Minimum Effort and Maximum Observability

The reality is that no one likes dealing with failed tests and defects. But building a culture of calibre demands a healthy view of failure that starts with better probe and resolution processes. With mabl ’ s new data-driven examination features, calibre teams can scale testing with confidence, know that our test automation program makes it easygoing to identify and fix bugs. & nbsp;

See how your team can easily scale test automation for both UI and API tests with mabl by join ourfree two week trial. With support for data-driven testing with unlimited parallel executions in the cloud, mabl makes it easy to quickly control thousands of scenario for your application, and then cursorily debug fault.

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