What methods can be used to detect memory leaks in an application?

The following diagnostic methods are used to detect memory leaks in Android applications:

• Android Profiler (Memory Profiler) in Android Studio — allows real-time monitoring of memory usage, taking heap snapshots, analyzing objects and their counts.

• LeakCanary — a library for automatic detection of memory leaks. It notifies the developer when an object that should be released is still retained in memory.

• Heap dumps and analysis with MAT (Memory Analyzer Tool) — enable detailed investigation of memory state and finding object retention chains.

• Debugging with profilers and command-line tools (e.g., adb shell dumpsys meminfo) — for assessing overall memory consumption.

Example of using LeakCanary:

class MyApplication : Application() {
    override fun onCreate() {
        super.onCreate()
        if (LeakCanary.isInAnalyzerProcess(this)) {
            return
        }
        LeakCanary.install(this)
    }
}

Thus, combining these tools allows for effective detection and elimination of memory leaks.