Identify platform-specific checks before releasing an app

A successful build means tooling produced an artifact. A successful installation means a device accepted it. Channel approval is another decision. These states cannot all be described as “published.” This lesson establishes mobile, desktop, and extension release records for a teaching feature set.

Use synthetic data and a test environment. Prepare offline reading, one schema migration, and a recoverable update error. Account eligibility, fees, and review durations depend on current platform requirements and are not generalized here.

Identify a candidate by its artifact

Record product version, build identifier, source commit, locked dependencies, target systems, and artifact checksum. One display version can have multiple builds. Tests must identify the actual file; testing a development build does not validate another uploaded package.

Track build, verification, internal installation, submission, processing, review, and availability separately. Each state needs evidence and failures. Upload completion cannot bypass processing or approval. Backend deployments also have independent versions and compatibility records.

Package resources and the intended service environment. Check debugging output, sample accounts, and unused permissions. Keep secrets in restricted storage and build mechanisms, outside client source, public lessons, and release attachments.

Check mobile-specific requirements

Apple associates uploads with bundle ID and version while the build string identifies a build. Uploaded artifacts require processing before testing distribution or review. Check current supported upload tools and SDKs rather than assuming an earlier Xcode remains acceptable.

Android release artifacts differ from debug builds. Configure signing, versions, and target SDK against current marketplace requirements. Signing credentials affect future updates and need restricted ownership and backup. A temporary build-machine identity is not casually interchangeable with production signing.

Test clean installation and upgrades on both platforms. Permissions must match behavior, including denial paths. Privacy descriptions should state actual reading, storage, and upload. Do not claim deletion features that do not exist. Account-based applications also need relevant deletion and recovery testing.

Distinguish desktop and extension channels

Desktop checks include architecture, resource paths, permissions, and installation. Electron needs continuing Chromium, Node, and dependency maintenance, with renderer isolation and IPC authorization review. A completed download does not establish trusted execution or updating.

Chrome extension publication involves uploading, completing listing, privacy, and distribution information, and submitting for review. Permissions should match a clear purpose. Unpacked development loading does not establish store eligibility. Packaged execution logic must meet current policy without using remote scripts to avoid review.

Use channel features such as deferred publication according to current controls. Record rejection reasons, fix the affected artifact, and verify again. Screenshots and descriptions must represent implemented behavior rather than future test plans.

Prepare the candidate in sequence

Freeze source and dependencies and create the version record. Run relevant project checks and build target artifacts. Retain logs and inspect packaged resources, endpoints, and permissions. These are reader procedures; no platform package is built in this lesson.

Install in a clean environment and exercise the core workflow with teaching data. Upgrade from retained old-version data and inspect migration. Test offline operation, reopening, denied permissions, and service errors. Mark simulator evidence separately from physical-device testing.

After confirming record-to-artifact correspondence, use internal distribution and resolve reproducible problems. Recheck channel materials and permissions before uploading the same candidate. Observe channel status and announce completion only when availability is confirmed.

Bound the readiness check

The Python model requires four specified fields. It performs no building, signing, store review, or compliance assessment.

artifact = {"version": "1.0.0", "signed": True, "tested": True, "privacy": False}
def ready(item):
    return (isinstance(item.get("version"), str) and bool(item["version"].strip())
            and all(item.get(name) is True for name in ["signed", "tested", "privacy"]))
assert not ready(artifact)
assert not ready({"version": "1.0.0"})
artifact["privacy"] = True
assert ready(artifact)
assert not ready(dict(artifact, privacy="checked"))
print(ready(artifact))

The output is True. Initially, the privacy check is false, so readiness is denied. Missing check fields and string results also fail. Completing all boolean checks permits readiness. Real release gates need linked signing verification, test results, and disclosure evidence rather than manually toggled Booleans.

Different artifacts need different conditions, including target installation, extension permissions, and schema migration. Readiness applies only to the defined checklist and cannot establish universal platform or regulatory approval.

Recover updates and migrations

Fetch updates through trusted channels, verify their source and required signatures, and apply version policy. Secure transport alone does not identify the publisher. Checksums matter when obtained from trusted records. Preserve the working version on update failure.

Migrations inspect input versions and commit using transactions or the provider's safe mechanism. Test interruption and repeated execution. New schemas may be incompatible with old applications, so rollback must address data versions instead of merely reinstalling an earlier package.

Old clients can remain active after a server change. Coordinate compatible interfaces and migration order, with observation and recovery plans. Urgent fixes still need artifact verification before being labeled successful.

Maintain evidence after publication

Record error codes, versions, and reproduction conditions without private content or credentials. Distinguish startup, migration, interface, and update failures. A test-environment problem is not automatically a real user-device incident.

Maintain dependencies, system compatibility, permissions, and policy checks. Dropping an older system needs a clear minimum-version change and recovery path. Published educational content should remain synthetic and free of account details or internal data.

Exercise: produce release evidence

Choose one platform and record the actual artifact, version, target environment, installation, and upgrade outcomes. Inject migration interruption and update-download failure, verifying retained data and the working version with explicit recovery limits.

Have another tester repeat the core path from a clean environment and compare permission disclosures. Label unsubmitted or processing states accurately. Proceed to the channel only with reviewable evidence. The Python gate checks its example conditions, not actual platform distribution readiness.