How will Android 11 Features impact your Mobile Application

Android 11, with so many amazing as well as powerful features, is going to enhance the App development process, improving various of its dimensions, such as- security, storage, connectivity, and a lot more. The changes can be broadly categorized into 3 types- Behavioural, Security, and New Features.

Let’s dive deeper and check out what does it holds for mobile app developers and the app proprietors.

  • More options for Permission Grant for access

Generally, when a user launches an application, it asks the user for the access grant for various resources such as a camera, microphone, and location. Considering the security of the user data, Android 11 has introduced a new feature i.e. one-time permission . If a user selects this option, the app gets access to the resources during the current use of the application, closing which loses all the access rights. The other permission grants work as usual.

  • Better Data Security

Generally, applications tend to collect user data, making their sensitive information prone to risk. Android 11, with advanced security updates such as Biometrics, Platform hardening, Security storage, etc., has made data security even more strict. Hence, the app developers are required to test their app for these changes, avoiding which can result in app crashes.

  • 5G Support

Providing support for the 5G network, Android 11 will enhance the user experience, providing faster speed and lower latency. 5G facilitates smooth video streaming, as well as faster loading of high-resolution applications/games, empowering the developers to include various creative elements, which are avoided at times due to network issues.

  • Reduced Data Redundancy

Android 11 also addressed the issue of data redundancy faced by the devices with one of the previous Android versions. Before Android 11, if two apps required the same data set they created 2 separate redundant copies, requiring more memory to store and increasing load on the network. On the contrary, Android 11 allows both the applications to use the same data set rather than creating one separate copy for each.

  • App exit reason

Finding out the App exit reason is a strenuous task to do, consuming a lot of unnecessary time which can be used in some productive work. Android 11 has liberated the app developers from this pain, generating a crash report consisting of the exit reason for the application on request. So, all a developer needs to do now is to focus on resolving the issue, rather than struggling with finding the reason behind the exit.

  • Better Image decoding and camera improvements

Android 11 comes with the facility of storing the images in the High-Efficiency Image Format (HEIF) which uses lossy compression technique, reducing the APK size, thereby diminishing the impact on the network. It is beneficial for displaying both the images as well as the animations. Also, with the use of a newly introduced API, i.e NDK API, Android 11 allows the apps to use the native graphics code for Image decoding/encoding, instead of using an external library for the same.

  • Support for Neural Network

Machine learning is ruling the market and is here to stay. Considering the fact, Android 11 has also extended more support for the apps based on machine learning. Along with NNAPI (Neural Network API), Android 11 also uses some other helpful APIs such as Quality of Service API which empowers the developers to develop a highly functional machine learning app.

  • Easier App Compatibility testing

App compatibility is one of the major points of concern for the developer, expecting them to track the behavioral changes of the application. Android 11 has made the process easier, making the tracking as well as testing a lot easier. Android 11 allows the developer to handle the changes as desired such as force-enable and disable change from the Android Debug Bridge (ADB) , liberating you from app recompilation for basic functionality testing.

Source: Google Unveils Android 11, Debuting The Most-Awaited Security and Machine Learning Features

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