Discover 161 articles on Testing in mobile performance
Showing 20 of 161 articles (Page 8 of 9)
Szabolcs Tóth from Skyscanner reveals how they solved a critical testing gap when integrating React Native into their Objective-C iOS app. Their solution transformed flaky, hard-to-debug bridge tests into a rel...
Arsen Gasparyan from Revolut breaks down how to build an analytics system that's actually testable. Most teams bolt on tracking as an afterthought—here's the protocol-oriented approach that scales.
Kateryna Sprynsian from Bumble's iOS team ditched traditional test cases for something faster. With weekly releases shipping multiple features, her team needed a testing approach that could actually keep up.
Gary Borton from Airbnb reveals how switching test frameworks slashed their CI build time by 62%. What started as a 12+ minute ordeal became a 4.5 minute sprint—and nearly eliminated test flakiness.
LinkedIn built their own crash reporting system instead of using third-party tools. Here's why that decision paid off.
Rajdeep Varma from Badoo cracked a problem that's plagued Android test automation for years. His solution lets Calabash test anything on the device, not just your app's UI.
Rajdeep Varma from Badoo cracked a problem that's plagued mobile test automation for years: Calabash could only test what's inside your app, while Appium couldn't use backdoor methods. His solution? Merge the b...
Alexander Khozya from Bumble's mobile QA team shares battle-tested strategies that caught critical bugs before millions of users did. His team's approach to testing saved them from costly re-submissions and use...
Rajdeep Varma from Badoo (now Bumble) tackled a problem that sounds impossible: running Android device tests inside Docker on macOS when Docker can't even see USB devices. The workaround? Brilliantly hacky.
Twitch discovered that Google Play's staged rollouts create biased user groups, breaking standard A/B testing assumptions. Here's how they adapted.
Klarna Engineering found that developers' optimism about their own code creates predictable load testing blind spots. Here are the four mistakes that keep biting teams before Black Friday.
Mike Chudziak tackles a problem every React Native team faces: codebases that work but don't scale. His 2017 guide remains surprisingly relevant for teams struggling with code quality as projects grow.
Facebook built a 2,000-device testing lab inside a data center. The journey from tangled cables to custom EMI racks is a masterclass in scaling mobile performance testing.
Abha Gupta from Walmart Global Tech tackles one of Android testing's toughest challenges: running mock servers inside your APK for reliable device farm testing. No external dependencies, no flaky tests.
Meta tackled one of iOS development's most painful problems: memory leaks that crash apps and kill performance. They automated the entire detection process.
Still manually checking code coverage on Android PRs? There's a better way that turns coverage tracking into an automated gatekeeper for your codebase.
Skyscanner's test suite had a 99% pass rate. Sounds great, right? Wrong. Those false failures were costing hours of productivity and masking real production issues.
Tommy MacWilliam from Quora reveals how they A/B test mobile UX without waiting weeks for App Store approval. The secret? A hybrid architecture that lets them iterate at web speed.
LinkedIn ships a single mobile binary but runs dozens of A/B tests simultaneously. Here's how they pulled it off without constant app releases.
When mobile traffic jumped from 25% to 40% in six months, Etsy knew they had a problem. Their engineers were testing on personal iPhones while users browsed on dozens of different devices.