Table of Contents
This guide focuses on "test android version taken out of market". I will utilize over 15 years of expertise in mobile test automation to discuss proven techniques for evaluating app compatibility when Android versions reach end-of-life.
The Challenges and Knowledge Development in Mobile Testing
Mobile application testing offers rich opportunities for skill development due to rapidly evolving devices and platforms. However, several aspects make it inherently complex:
- Fragmentation across tens of thousands of device and OS combinations
- Frequent platform updates from OS vendors and OEMs
- Innovation in mobile hardware capabilities like new sensors and form factors
- Need for cross-browser and native app testing strategies
- Demand for real-world condition simulation through network, geo-location and power fluctuations
As a test leader guiding projects across healthcare, e-commerce and finance apps, I learned the importance of staying continually engaged as a QA. This allows me to guide developers onavoizing backward compatibility issues and optimizing test automation coverage.
Let‘s take a deeper look at such scenarios where Android versions reach end-of-life.
Implications of Version Phase Out from Android Ecosystem
Android platform versions get phased out once their user base dwindles globally. Per StatCounter reports, Android KitKat and Jelly Bean now have negligible share.
| Android Version | % Global User Base – Mobiles & Tablets |
|---|---|
| Jelly Bean | 1.29% |
| KitKat | 0.65% |
This data enables Google to streamline their engineering efforts away from legacy generations. When versions launch, OEM partners control pushing updates to existing devices. Without updates, users risk apps losing compatibility as developer support wanes.
While savvy users root devices for custom OS images, average consumers either stick to phones without updates or purchase new hardware. This leads to extra app testing and code maintenance for supporting fading Android versions.
Techniques to balance business needs against engineering costs are vital when versions get phased out. Let‘s analyze common app impacts between generations.
Key Android Features Breaking Across Versions
In my experience guiding mobile teams, These six areas tend to cause the most app regression issues across Android generations:
1. Battery and Power Management APIs
New versions enable extended standby and granular control over component battery usage. As users get upgrades, reliance on old battery APIs causes instability.
For example, Doze mode integration changed between Marshmallow and Nougat. Apps need testing with real device power conditions.
2. Biometrics and Security Services
Scoping stored credentials, KeyStore access and biometric authentication requires current APIs. For example, fingerprint handling changed in Android 9 Pie release.
As vendors patch older versions, app data protection needs re-validation against updated security services.
3. Notifications Management
Notification channels and messaging changed since Android Oreo, requiring expanded test cases. Automated reporting on warning or error-level API usage helps prevent crashes.
4. Google Play Services and Firebase Messaging (FCM)
Core capabilities around account management, authentication, cloud messaging rely on updated Google libraries and FCM payload handling.
For example, saved Google sign-in states changed in Play services 11.2. Ensuring current library usage avoids account disruptions during Android version migrations.
5. Machine Learning and Compatibility Libraries
The AndroidX libraries help ease porting to new API levels, but need integration testing for performance parity across versions. Emergency fallback logic helps limit disruption.
6. Navigation Patterns and Architecture
Navigation principles changed from traditional methods to the Navigation Component Architecture in Jetpack. Lifecycle management, fragments and view handling need special focus between major Android releases.
Let’s discuss strategies once product owners decide an Android version will no longer have active engineering support.
Recommended App Testing Strategy When Android Version is Phased Out
Survey Target User Base
Work with product managers to distribute opt-in surveys across at-risk Android versions. This quantifies your install base across generations to size up potential impact.
Tailor survey questions to gather usage data around key app features from the above categories. Track survey response rates to estimate proportion on older Android versions.
Analyze Codebase for Usage of Deprecated APIs
Leverage automated static and dynamic analysis tools to find usages of APIs deprecated across Android versions. Each deprecated API becomes a risk of instability when a version stops updates.
Catalog all occurrences in the code to create a master gap list. Identify alternative implementations and start refactoring well in advance of a phase out.
Here is a sample output from the JAPDetector tool showing an app‘s API level usage breakdown:
From this data, you can identify potential backward compatibility trouble spots.
Build Functional Regression Test Suites
Dig into all features that depend on components changing between versions – battery, security, ML etc. Ensure test plans exercise both happy paths and error condition handling.
Especially focus on portions relying on native Android APIs vs. app code. Changes to OS defenses can profoundly impact those areas when support stops.
Simulate Real-World Conditions
With automated testing frameworks stress different power settings, airplane mode toggling, location accuracy/speed and network type changes. Many connectivity issues arise only in the field and require reproduction.
Analyze logs across runs to ensure graceful handling regardless of erratic device state switches. Compare performance and app behavior to baseline flagship phones with updated Android releases.
Scale Automation Across All Fragmentation Axes
Ensure automation coverage spans legacy Android OS versions, popular device OEM skins (like MIUI, ColorOS), resolutions, chipsets & real device brands. Budget reserves for open cloud device labs makes this achievable today.
Work with developers to build device configuration specific handling instead of generic code where possible. This circumvents platform specific issues emerging when updates stop for particular devices and manufacturers.
Sustaining App Reliability During Android Fragmentation
Judiciously utilizing the above recommendations has helped multiple teams balance innovation against platform disruption from Android fragmentation:
- Surveyed app user base on aging Android versions to guide business decisions on ongoing support compared to engineering costs.
- Maintained automated API usage tracking to continuously refactor risky dependencies before pull out of versions.
- Built test automation to run daily regression across all supported Android generations to sustain quality.
- Test coverage spanned multiple device OEMs on every unique Android version to catch variant-specific issues early.
Despite some devices and users facing potential disruption when versions phase out, we delivered reliable app performance for a majority of the install base.
Let me know if you have any other questions!