Memory Leaks & Memory Consumption by Mobile Applications

Mobile apps can often crash for many reasons. Nothing is as excruciating as memory leaks. It starts with your app crashing often, or becoming slow or maybe making your entire phone slow down, taking longer time to load activities. Memory leaks are notoriously hard to detect, and thus can easily surprise you. Have we ever thought why most of the users uninstall the application after some use?

Which is why it is critical for Developers to understand the memory consumption by any mobile application. How do you detect memory leaks during Mobile Application Testing? And if so, how can you prevent them from hogging mobile resource consumption?

A little knack for Mobile Application Testing always comes handy.

Memory is critical to device

Memory is one of the key resources of the mobile device.And memory leaks in Android is an important thing to be kept in mind. Java is a garbage collecting language, which removes the need for developers to dig deep to manage allocated memory. This reduces the chances of any segmentation fault crashing an app or any unfreed memory allocation from eating up space of the heap area, thus creating a safer code.

However, a garbage collector is never an insurance against memory leaks. There are other ways by which memory can be leaked within Java. This means that your android mobile application is still pretty prone to wasting unnecessary memory allocation and crashing with out-of-memory (OOM) errors.

Why are Memory Leaks Bad?

Cause:Memory leaks occur when some variable of the application still has references to some objects that are unnecessary, no longer in use or used to be with the app anymore, is bloating the allocated memory heap and the Garbage Collector is not being able to release that memory.

Effect: Android devices mostly run on phones with limited memory, so as a result of too many leaks, the app runs out of available memory. This triggers more frequent Garbage Collector events which paralyze the device (Stop-the-world GC events) by almost stopping the rendering of UI and processing of events. This leads to an Out of Memory Exception and translates to the user as the app being unresponsive.

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