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Android app performance testing

Performance bugs need comparable hardware and thermal state—otherwise you chase noise. Baseline cold/warm start, scroll jank, and memory on fixed device profiles, and fold results into your testing workflow alongside profiling tools.

Start testing Testing workflows Release validation

What to measure

Startup time (cold/warm) and time-to-interactive for key screens.
Frame pacing and input latency on long lists and maps.
Memory footprint, leaks after repeated flows, and native heap where relevant.
Battery impact for background sync, location, or media use cases.

Make numbers trustworthy

Baseline

Same profile

Compare build N vs. N-1 on identical device class and OS; log thermal throttling.

Sample

Enough iterations

Median over multiple runs beats single captures skewed by JIT or caches.

Budget

SLOs

Define pass/fail thresholds per flow so perf regressions block release like functional bugs.

How Device Changer fits

Controlled environments reduce variance so regression suites surface real deltas in startup and scroll metrics.

Try tool

Interface screenshots

FAQ

When should perf tests run?

Smoke perf on frequent builds; deeper profiling on release candidates and after large UI or media changes.

Can CI measure jank accurately?

It can trend results if agents are consistent; validate suspicious deltas on reference hardware.