Mobile regression testing
Automated mobile app regression testing
Mobile regression suites fail through maintenance demands, not technical limitations. Klarent's AI agents repair test suites automatically as your app evolves, so a full regression run stays affordable on every release.
The regression testing problem
Why mobile regression suites break down
Locator failures on every update
App updates break locators before the suite even finishes running, so failures pile up before anyone can tell what is a real regression.
Device and OS upgrades ripple across the suite
A single device or OS upgrade invalidates assumptions baked into hundreds of test steps at once, across the entire portfolio.
Runtimes force teams to cut scope
A full suite takes too long to finish inside a release window, so teams narrow coverage right when they need it most.
Flaky failures eat investigation time
Environmental noise gets triaged like a real regression, consuming hours that should go to actual defects.
Device matrix multiplication
Every new device and OS combination multiplies the test case volume the suite has to cover.
Release gates outside your control
OS rollout schedules and app store review windows leave little room to rerun or roll back once a regression slips through.
Platform
Everything your mobile QA team needs
From generating your first test to keeping it green after every app update. Klarent handles every step.
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Platform capabilities
Built for full-suite mobile regression
Self-healing execution
Broken steps are repaired mid-run, so a locator change does not take down the whole suite.
Failure triage
Genuine regressions are separated from environmental noise automatically, before anyone has to look.
Selective test execution
Only the scenarios touched by the latest code changes run, instead of the entire suite every time.
Parallel processing
The full regression suite completes inside the release window by running across devices in parallel.
Trend analytics
Coverage and pass-rate trends are tracked release over release, so regressions in stability show up early.
Testing priorities
What to prioritize every regression cycle
Revenue-critical workflows
Authentication, transactions and payment flows, tested first on every release.
Hardware and system permissions
Camera, biometrics, notifications and other flows that need real hardware interaction.
Recently modified screens
Screens changed in the last two releases, where regressions are most likely to appear.
High-risk integrations
Third-party integrations and external services where failures can impact critical user workflows.
Fits your release process
Runs where regression already gets decided
Release-gated runs
Trigger the full regression suite from your CI/CD pipeline on every release build, not just on demand.
Coverage and pass-rate trends
Track suite health release over release, not just pass or fail for a single run.
Integrations
Fits into your existing stack
Connect to GitHub, Jira, Slack, and more - no reconfiguring your workflow.
Trust & security
Security that scales with your business.
Enterprise grade security isn't a checkbox - it's baked into every layer of Klarent.
ISO 27001 certified
Internationally recognised information security management, independently verified.
SOC 2 compliant
Rigorous third-party audit of our security, availability, and confidentiality controls.
Multi-layer encryption
Data encrypted in transit and at rest, with granular access controls throughout.
Flexible deployment
Cloud, private cloud, or on-premises - deploy Klarent to meet your compliance requirements.
Custom model fine-tuning
Leverage your proprietary test data and test data automation to fine-tune domain-specific models and create tailored QA solutions that fit your stack and workflows.
24/7 Enterprise Support
White-glove assistance with human in the loop testing experts to maximize performance and reliability.
Klarent vs. traditional QA
Klarent vs manual regression and in-house scripts
| Manual regression | In-house scripts | Klarent | |
|---|---|---|---|
| Suite maintenance | QA re-validates broken cases by hand after every release | Engineers patch locators and scripts as the app changes | Self-healing execution repairs broken steps automatically |
| Release coverage | Scope gets cut to fit the release window | Full runs possible, but slow without heavy parallel infrastructure | Full suite runs in parallel, inside the release window |
| Failure investigation | Every failure needs manual triage | Custom tooling needed to separate flakes from regressions | Automatic triage flags genuine regressions |
| Change targeting | Same fixed suite runs regardless of what changed | Requires custom logic to scope runs to affected code | Selective execution targets only affected scenarios |
| Visibility | Pass/fail per run, little historical context | Depends on in-house dashboards, if built | Trend analytics track coverage and pass-rate over time |
See a full regression run on your own build.
Watch Klarent run, triage and self-heal a real regression suite against your APK or IPA, not a demo app.
FAQs
Not because of technical limitations - because of maintenance. Locator failures from app updates, device and OS upgrades, and flaky environmental failures pile up until teams cut scope just to fit a release window.
Self-healing execution repairs broken steps mid-run, so a locator change or UI update does not take the whole suite down. There is no manual patching between releases.
Both are supported. Selective execution targets only the scenarios touched by recent code changes for fast feedback, while full parallel runs cover the entire suite inside the release window when you need complete coverage.
Automatic failure triage separates genuine regressions from environmental noise - timing issues, network conditions, device-specific quirks - before anyone has to investigate manually.
Revenue-critical workflows like authentication, transactions and payments, the core of financial application testing; scenarios that need real hardware or system permissions; and screens changed in the last two releases, where regressions are most likely.
Yes. Trigger the full regression suite from your CI/CD pipeline on every release build, and gate a release on a critical-path suite passing.
Yes. Trend analytics track coverage and pass-rate progression release over release, so a slow decline in suite health shows up before it becomes a real problem.