28 posts tagged with "Bugs"

If you have worked on a mobile app for any amount of time, you already know one thing. Bug reporting is often frustrating. You get a crash log. You get a network error. You get a stack trace that points to the very end of a problem. And then you are left trying to guess everything that happened before that moment.

It feels like walking into a movie three minutes before it ends and trying to guess the entire story.

That is the reality of traditional bug reporting.

Now imagine something different. Imagine being able to see exactly what your app was doing inside its functions. You could see what input it received, how it behaved, where things slowed down, and what actually caused the issue. That is the idea behind function tracking. And once you understand it, you can clearly see why it is a far better approach.

Ever tapped a button in your app and waited... and waited... until you started questioning your life choices?

Yeah, that's an app hang.

It's not a crash. It's worse. Your app doesn't explode, it just freezes. Quietly. Awkwardly. Like someone forgot their lines on stage and now the whole audience is staring.

App hangs are sneaky. They don't always show up in crash reports. But your users feel them. In the lags, the unresponsive screens, the moments when they swipe but nothing moves. And if it happens too often? That uninstall button starts looking real attractive.

But it doesn't have to be that way.

Let's fix the freeze before the curtain falls.

Have you ever dated someone who just… wouldn't let go?

You break up, move on, start fresh - and boom - they're still texting, still showing up in your life, refusing to be deleted.

That's your app with a memory leak.

It's holding on to screens, data, and objects long after it should've moved on. You've moved past the Activity, but it's still lingering in memory like a clingy ex who didn't get the memo.

The worst part? You might not even know it's happening.

But users will. They will feel it in the slowdowns, the crashes, the app that once felt smooth now feeling… emotionally unavailable.

And in Android, they're not just annoying. They're dangerous. They can slow down your app, cause freezes, and eventually - boom! A crash.

Let's dive into the most common memory leak scenarios in Android. I'll walk you through real-world examples, show you how to spot them, and most importantly, how to fix them.

You're test-driving a car. Everything seems fine, until you hit 60 mph and the steering wheel starts shaking. Weird, right? You take it back to the shop, only to hear, "Oh, that only happens on highways. We didn't test for that."

Now imagine that same moment, but with your iOS app. It passes all your tests locally. Looks great on your simulator. But when it lands in the real world? Crash on iOS 16.3. A layout glitch on the iPhone SE. A memory spike on iPadOS.

Here comes your first comment, "App keeps crashing when I switch tabs. iOS 16.3."

And boom! Your 5-star rating dips, users uninstall, and your team scrambles in damage-control mode.

That's why modern iOS teams don't just test. They test right.

Let's talk about Appxiom + BrowserStack - a killer combo that brings you deep device coverage and smart issue detection in one efficient workflow.

What is BrowserStack?​

BrowserStack is your all-access pass to testing iOS apps on real devices, without needing to build your own hardware lab. From the latest iPhones to older iPads running quirky iOS versions, it gives you cloud-based access to actual devices (not emulators), so you can run both manual and automated tests with ease. Think of it as having a fully-stocked Apple device warehouse right in your browser. Whether you're running regression tests or checking cross-device compatibility, BrowserStack helps you ensure your app looks sharp and works flawlessly, no matter where or how your users open it.

What Is Appxiom?​

Now here's where Appxiom steps in, and turns up the heat in the best way possible.

Appxiom is a real-time issue detection platform that helps you catch crashes, performance drops, and user-impacting bugs during testing, before your users ever see them.

If BrowserStack shows you where your app might stumble, Appxiom shows you why. While your tests run across real iOS devices, Appxiom is silently at work in the background, listening in on everything that happens beneath the surface.

Crashes during navigation? It catches them. Memory leaks hiding behind a clean UI? Detected. Janky scrolls, sluggish taps, or performance drops? Marked. Bugs that quietly kill conversions? Flagged with business impact.

Appxiom doesn't just collect this data, it translates it into rich, actionable insights. You get real-time issue reports that include severity, device context, and user flow impact, all wrapped in a developer-friendly dashboard. Instead of digging through logs or guessing what went wrong, you know exactly what to fix, and why it matters.

The result? You stop reacting to bug reports after users complain and start resolving issues before they ever hit production. With Appxiom riding alongside your BrowserStack tests, every test session becomes a proactive debugging session. It's like running your app through an MRI while it performs on stage—and getting the results instantly.

How to Integrate BrowserStack and Appxiom Together for Smarter iOS Testing​

Here's how to integrate BrowserStack and Appxiom into your iOS workflow:

Step 1: Setting Up BrowserStack​

Head to browserstack.com and create your account. Explore their documentation to understand device setup, automation tools, and test configuration. Install required SDKs and dependencies for running your iOS tests.

Step 2: Integrating Appxiom​

Register with Appxiom at appxiom.com and log in to the dashboard. Click "Add App" to connect your iOS app. Follow integration steps in the Appxiom Docs to embed the Appxiom framework into your app. Run a quick sanity test to make sure the integration is successful.

Step 3: Running Tests on BrowserStack​

Choose your target iPhones or iPads from BrowserStack's real device lab. Configure the test environment and load your Appxiom-integrated app. Use your test framework to run automated test cases. Monitor UI behavior, response times, and user flow - all in real-time.

Step 4: Analyzing Appxiom Reports​

Log in to your Appxiom dashboard after running tests on BrowserStack. Identify performance issues, crashes, UI glitches, or slowdowns detected during testing. Review detailed bug reports with data points like issue type, severity, device info, and timestamps. Use these insights to reproduce and resolve bugs quickly.

The Power of Pairing: Why BrowserStack + Appxiom Just Makes Sense​

Imagine this: You're testing your iOS app on a real iPhone 14 using BrowserStack. Everything looks smooth on the surface. But beneath that pixel-perfect UI, Appxiom is quietly watching for deeper issues - things no visual test would catch.

That's the beauty of using both tools together. One handles the "outside," the other handles the "inside." And when paired, they give you something every developer dreams of: complete visibility.

Here's what you really get when you bring them together:

1. Enhanced Device Coverage​

With BrowserStack, you're testing on actual iOS hardware. No flaky emulators, no simulator - only bugs. You see what your users see.

2. Silent Bug Surveillance​

Silent killers like API issues, memory spikes, UI jank usually go undetected until it's too late. Appxiom flags them in real time, even if no one reports them.

3. Crystal-Clear Reproduction​

When a bug appears, Appxiom shows you where, how, and why it happened, right down to the device, OS version, and line of code. Combine that with BrowserStack's stable testing environment, and reproducing bugs becomes effortless.

4. Fix What Matters, Fast​

Not all bugs deserve a panic patch. Appxiom tells you which ones are impacting your users the most, so you prioritize smart, not out of fear.

5. Save Time. Save Budget. Save Face.​

No more post-release chaos. With better pre-release coverage and proactive detection, you catch problems early, and avoid costly fixes later.

In Summary​

Testing on real devices? Necessary. Catching hidden bugs before users do? Priceless.

With BrowserStack, you test how your app looks and behaves. With Appxiom, you understand how it performs and fails, even when it looks fine.

Together? You've got a world-class iOS testing workflow that keeps your app sharp, your users happy, and your team confident.

Start using Appxiom with BrowserStack today!

Because flawless apps aren't built by chance. They're built by choice.

You're out for dinner. Ambience? Perfect. Service? Spot on. Then your dish arrives. But something's off. The pasta's missing salt, or the steak's slightly overcooked. You raise your hand to get the waiter's attention. But before you can say a word, they smile and say, "The chef already noticed. A fresh plate is on its way."

It feels like magic. But really, it's just attention to detail before a complaint even happens.

That's the kind of experience your users expect from your app too. Silent problems fixed before they even realize something went wrong.

Jetpack Compose is a modern Android UI toolkit introduced by Google, designed to simplify UI development and create more efficient and performant apps. While it offers numerous advantages, like a declarative UI syntax and increased developer productivity, it's not immune to memory leaks.

Memory leaks in Android can lead to sluggish performance and even app crashes. In this blog post, we'll explore the possibilities of causing memory leaks in Jetpack Compose and common reasons behind them. We'll also provide code examples and discuss strategies to prevent and fix these issues.

Understanding Memory Leaks​

Before diving into Jetpack Compose-specific issues, let's briefly understand what a memory leak is. A memory leak occurs when objects that are no longer needed are not released from memory, causing a gradual increase in memory consumption over time. In Android, this is typically caused by retaining references to objects that should be garbage collected.

How to Avoid Memory Leaks in Jetpack Compose​

1. Lambda Expressions and Captured Variables​

Jetpack Compose heavily relies on lambda expressions and function literals. When these lambdas capture references to objects, they can unintentionally keep those objects in memory longer than necessary. This often happens when lambdas capture references to ViewModels or other long-lived objects.

@Composable
fun MyComposable(viewModel: MyViewModel) {
    // This lambda captures a reference to viewModel
    Button(onClick = { viewModel.doSomething() }) {
        Text("Click me")
    }
}

In this example, the lambda passed to Button captures a reference to the viewModel parameter. If MyComposable gets recomposed, a new instance of the lambda will be created, but it still captures the same viewModel reference. If the old MyComposable instance is no longer in use, the captured viewModel reference will keep it from being garbage collected, potentially causing a memory leak.

To avoid this, you can use the remember function to ensure that the lambda captures a stable reference:

@Composable
fun MyComposable(viewModel: MyViewModel) {
    val viewModelState by remember { viewModel.state }

    Button(onClick = { viewModelState.doSomething() }) {
        Text("Click me")
    }
}

Here, remember is used to cache the value of viewModel.state. This ensures that the lambda inside Button captures a stable reference to viewModelState. As a result, even if MyComposable is recomposed, it won't create unnecessary new references to viewModel, reducing the risk of memory leaks.

2. Composable Functions and State​

Composables are functions that can rebuild when their inputs change. If you're not careful, unnecessary recompositions can lead to memory leaks. Composable functions that create and hold onto state objects, especially those with a long lifecycle, can cause memory leaks.

@Composable
fun MyComposable() {
    val context = LocalContext.current
    val database = Room.databaseBuilder(context, MyDatabase::class.java, "my-database").build()

    // ...
}

To mitigate this, prefer creating and closing resources within a DisposableEffect:

@Composable
fun MyComposable() {
    val context = LocalContext.current

    DisposableEffect(Unit) {
        val database = Room.databaseBuilder(context, MyDatabase::class.java, "my-database").build()
        onDispose {
            database.close()
        }
    }

    // ...
}

​

3. Forgetting to Dispose of Observers​

Jetpack Compose's LiveData and State are commonly used for observing and updating UI. However, not removing observers correctly can result in memory leaks. When a Composable is removed from the UI hierarchy, you should ensure that it no longer observes any LiveData or State.

@Composable
fun MyComposable(viewModel: MyViewModel) {
    val data = viewModel.myLiveData.observeAsState()

    // ...
}

To address this, use the DisposableEffect to automatically remove observers when the Composable is no longer needed:

@Composable
fun MyComposable(viewModel: MyViewModel) {
    DisposableEffect(viewModel) {
        val data = viewModel.myLiveData.observeAsState()
        onDispose {
            // Remove observers or do necessary cleanup here
        }
    }

    // ...
}

Conclusion​

Jetpack Compose is a powerful tool for building modern Android user interfaces. However, like any technology, it's essential to be aware of potential pitfalls, especially regarding memory management.

By understanding the common causes of memory leaks and following best practices, you can create efficient and performant Compose-based apps that delight your users.

Testing is an integral part of the software development process, and Android app development is no exception. Kotlin, being the official programming language for Android development, provides developers with powerful tools and frameworks for testing Android apps.

In this blog, we will explore various testing strategies and best practices for testing Kotlin Android apps, ensuring high-quality and robust applications.

1. Setting up the Testing Environment​

Before diving into testing, you need to set up the testing environment for your Kotlin Android app. This involves adding the necessary dependencies and libraries and determining the types of tests you'll perform.

1.1. Dependencies and Libraries​

To enable testing, include the following dependencies in your app's build.gradle file:

dependencies {
    // Testing dependencies
    testImplementation 'junit:junit:4.13.2'
    androidTestImplementation 'androidx.test:runner:1.4.0'
    androidTestImplementation 'androidx.test.espresso:espresso-core:3.4.0'
    // Other dependencies...
}

1.2. Test Types​

There are three main types of tests in Android app development:

• Unit Tests: Focus on testing individual components in isolation, such as functions, classes, or modules.

• Instrumented Tests: Run on an Android device or emulator and interact with the app's UI components and resources.

• Automated UI Tests: Similar to instrumented tests but are written to simulate user interactions and test user flows automatically.

Now that the testing environment is set up let's move on to the different testing strategies.

2. Unit Testing​

Unit testing involves testing individual components of your app in isolation to ensure that they function correctly.

2.1. Introduction to Unit Testing​

Unit tests focus on testing small units of code, such as individual functions or classes. They help identify bugs early in the development process, improve code maintainability, and provide fast feedback during development.

2.2. Writing Unit Tests in Kotlin​

To write unit tests in Kotlin, you can use the JUnit testing framework. Write test methods that assert the expected behavior of the code being tested.

For example, test a function that calculates the sum of two numbers:

import org.junit.Test
import org.junit.Assert.assertEquals

class MathUtilsTest {
    @Test
    fun testSum() {
        val result = MathUtils.sum(2, 3)
        assertEquals(5, result)
    }
}

2.3. Using Mockito for Mocking Dependencies​

Sometimes, unit tests require mocking dependencies to isolate the code being tested. Mockito is a popular mocking framework that simplifies the creation of mock objects. It allows you to define the behavior of mock objects and verify interactions with them.

For example:

import org.junit.Test
import org.junit.Assert.assertEquals
import org.mockito.Mockito.*

class UserManagerTest {
    @Test
    fun testUserCreation() {
        val userService = mock(UserService::class.java)
        val userManager = UserManager(userService)
        
        `when`(userService.createUser("John Doe")).thenReturn(User("John Doe"))
        
        val user = userManager.createUser("John Doe")
        
        assertEquals("John Doe", user.name)
        verify(userService).createUser("John Doe")
    }
}

2.4. Running Unit Tests​

To run unit tests, right-click on the test class or package in Android Studio and select "Run 'ClassName'" or "Run 'PackageName'." You can also use Gradle commands like ./gradlew test to run tests from the command line.

3. Instrumentation Testing​

Instrumentation tests allow you to test your app's behavior on an Android device or emulator. These tests interact with the app's UI components, resources, and the Android framework.

3.1. Introduction to Instrumentation Testing​

Instrumentation tests are essential for verifying the correct behavior of your app's UI and interactions with the underlying system. They help catch bugs related to UI rendering, user input handling, and inter-component communication.

3.2. Writing Instrumented Tests in Kotlin​

To write an instrumented test in Kotlin, use the androidx.test framework. Create a test class and annotate it with @RunWith(AndroidJUnit4::class). Use the @Test annotation on individual test methods.

For example:

import androidx.test.ext.junit.runners.AndroidJUnit4
import androidx.test.platform.app.InstrumentationRegistry
import androidx.test.rule.ActivityTestRule
import org.junit.Assert.assertEquals
import org.junit.Rule
import org.junit.Test
import org.junit.runner.RunWith

@RunWith(AndroidJUnit4::class)
class MainActivityInstrumentedTest {
    @Rule@JvmField
    val activityRule = ActivityTestRule(MainActivity::class.java)
    
    @Test
    fun testButtonClick() {
        val appContext = InstrumentationRegistry.getInstrumentation().targetContext
        
        // Simulate a button click
        onView(withId(R.id.button)).perform(click())
        
        // Verify the expected text is displayed
       onView(withId(R.id.textView)).check(matches(withText("Button Clicked")))
    }
}

3.3. Running Instrumented Tests​

To run instrumented tests, right-click on the test class or package in Android Studio and select "Run 'ClassName'" or "Run 'PackageName'." You can also use Gradle commands like ./gradlew connectedAndroidTest to run instrumented tests from the command line.

3.4. Interacting with UI Elements​

The androidx.test.espresso library provides a fluent and expressive API for interacting with UI elements in instrumented tests. Use methods like onView, perform, and check to find views and perform actions on them.

For example, onView(withId(R.id.button)).perform(click()) simulates a click on a button with the specified ID.

3.5. Using Espresso for UI Testing​

Espresso is a popular testing framework within androidx.test.espresso for UI testing. It simplifies writing concise and readable tests for Android UI components. Espresso provides a rich set of matchers, actions, and assertions.

For more details, visit the link provided at the end of this blog [1].

4. Automated UI Testing​

Automated UI tests, also known as end-to-end tests, simulate user interactions and test user flows automatically. These tests ensure that different parts of the app work together correctly.

4.1. Introduction to Automated UI Testing​

Automated UI tests simulate user interactions, such as button clicks, text input, and gestures, to test the app's behavior and flow. These tests help catch integration issues, data flow problems, and user experience regressions.

4.2. Writing Automated UI Tests in Kotlin​

To write automated UI tests in Kotlin, you can use frameworks like Espresso or UI Automator. Create test classes and use the testing APIs to interact with UI elements and perform actions.

For example:

import androidx.test.core.app.ActivityScenario
import androidx.test.espresso.Espresso.onView
import androidx.test.espresso.action.ViewActions.click
import androidx.test.espresso.assertion.ViewAssertions.matches
import androidx.test.espresso.matcher.ViewMatchers.withId
import androidx.test.espresso.matcher.ViewMatchers.withText
import org.junit.Test

class MainActivityAutomatedTest {
    @Test
    fun testButtonClick() {
        ActivityScenario.launch(MainActivity::class.java)
        
        // Simulate a button click
        onView(withId(R.id.button)).perform(click())
        
        // Verify the expected text is displayed
       onView(withId(R.id.textView)).check(matches(withText("Button Clicked")))
    }
}

4.3. Running Automated UI Tests​

To run automated UI tests, follow the same process as running instrumented tests. Right-click on the test class or package in Android Studio and select "Run 'ClassName'" or "Run 'PackageName'." Use Gradle commands like ./gradlew connectedAndroidTest to run tests from the command line.

4.4. Testing Navigation and User Flows​

Automated UI tests are ideal for testing navigation and user flows within your app. Simulate user interactions to move between screens, verify correct data flow, and validate the expected behavior at each step.

5. Test Doubles and Dependency Injection​

Test doubles are objects used in place of real dependencies during testing. Dependency Injection (DI) helps manage dependencies and facilitates the use of test doubles.

5.1. Understanding Test Doubles​

Test doubles include stubs, mocks, fakes, and dummies. They allow you to isolate code under test, simulate specific behaviors, and verify interactions. Use test doubles to replace external dependencies or collaborator objects.

5.2. Using Dependency Injection for Testability​

Design your app with dependency injection principles in mind. Dependency injection frameworks like Dagger or Koin can help manage dependencies and make testing easier. Inject test doubles instead of real dependencies during testing.

5.3. Mocking Dependencies with DI Containers​

DI containers, such as Mockito or Koin, provide mechanisms to define test-specific configurations and replace real dependencies with test doubles. Use these containers to inject mock objects and stub behaviors.

5.4. Configuring Test-Specific Dependencies​

Configure your DI container to provide test-specific dependencies when running tests. This allows you to control the behavior of dependencies during testing and ensure predictable test results.

6. Test Coverage and Continuous Integration​

Test coverage measures the extent to which your code is tested by your test suite. Continuous Integration (CI) ensures that your tests are run automatically and regularly as part of your development workflow.

6.1. Measuring Test Coverage​

Use tools like JaCoCo or Android Studio's built-in code coverage to measure test coverage. Aim for high code coverage to ensure that critical parts of your app are adequately tested.

6.2. Configuring Continuous Integration (CI)​

Set up a CI system, such as Jenkins, Travis CI, or CircleCI, to automatically build and test your app. Configure your CI pipeline to run your tests and generate test reports.

6.3. Running Tests on CI Platforms​

Configure your CI system to execute your tests during the build process. Ensure that your build script or CI configuration includes the necessary commands to run unit tests, instrumented tests, and automated UI tests.

7. Using APM Tools​

APM tools play a crucial role in monitoring and analyzing the performance and stability of your Kotlin Android apps. They provide real-time insights into crashes, errors, and performance bottlenecks, helping you identify and resolve issues quickly.

Some of the popular APM tools for Android apps are Bugsnag, Appxiom, New Relic and Sentry.

8. Testing Best Practices​

Follow these best practices to write effective and maintainable tests for your Kotlin Android apps:

8.1. Isolating Tests​

Each test should be independent and not rely on the state or side effects of other tests. Isolate tests to prevent dependencies between them, ensuring consistent and reliable results.

8.2. Writing Readable and Maintainable Tests​

Write tests that are easy to understand and maintain. Use descriptive method and variable names, organize tests logically, and avoid duplicating code across tests.

8.3. Using Test Fixtures​

Test fixtures are preconditions or shared resources required for multiple tests. Use setup and teardown methods, annotations, or test fixture classes to set up common test conditions and clean up resources.

8.4. Test-Driven Development (TDD)​

Consider Test-Driven Development as a development practice. Write tests before implementing functionality. This approach helps define the desired behavior, ensures testability, and provides quick feedback.

8.5. Performance Testing​

Consider performance testing to identify bottlenecks and optimize critical parts of your app. Measure performance metrics, such as response times or memory usage, to ensure your app meets performance expectations.

8.6. Edge Cases and Boundary Testing​

Test edge cases and boundary conditions, such as maximum and minimum input values or error scenarios. These tests help uncover potential issues related to limits, constraints, or exceptional situations.

Conclusion​

In this blog, we explored various testing strategies for Kotlin Android apps. We covered unit testing, instrumentation testing, automated UI testing, test doubles, dependency injection, test coverage, continuous integration, APM tools, and best practices.

By incorporating these testing strategies into your development process, you can ensure high-quality, robust, and reliable Kotlin Android apps. Remember to continuously iterate and improve your test suite to catch bugs early and deliver exceptional user experiences.

• Testing Jetpack Compose based Android UI using Espresso.

In the fast-paced world of mobile app development, ensuring the quality and reliability of your application is crucial. Flutter, a popular cross-platform framework developed by Google, has gained significant traction among developers for its ability to create stunning mobile apps for both Android and iOS platforms. Testing plays a vital role in delivering a successful Flutter app, ensuring its functionality, performance, and user experience.

In this blog post, we will explore the different aspects of testing Flutter mobile apps and provide a comprehensive guide to help you achieve a robust and reliable application.

Understanding Flutter Testing Fundamentals​

Before diving into the testing process, it's essential to familiarize yourself with the basic testing concepts in Flutter.

Flutter provides several testing frameworks and tools, including unit testing, widget testing, and integration testing. Understanding these concepts will allow you to choose the appropriate testing approach based on your application's requirements.

1. Writing Unit Tests​

Unit tests are the foundation of any test suite and focus on testing individual units of code. In Flutter, you can use the built-in test package, which provides utilities for writing and executing unit tests. Unit tests help validate the behavior of functions, classes, and methods in isolation, ensuring that they produce the expected output for a given input.

Let's take a look at an example of a unit test:

import 'package:test/test.dart';

int sum(int a, int b) {
  return a + b;
}

void main() {
  test('Sum function adds two numbers correctly', () {
    expect(sum(2, 3), equals(5));
    expect(sum(0, 0), equals(0));
    expect(sum(-1, 1), equals(0));
  });
}

In this example, we define a sum function that adds two numbers. We then write a unit test using the test function from the test package. The expect function is used to assert that the actual result of the sum function matches the expected result.

2. Widget Testing​

Widget testing in Flutter involves testing the UI components of your application. It allows you to verify if the widgets render correctly and behave as expected. The Flutter framework provides the flutter_test package, which offers a rich set of APIs for widget testing. With widget testing, you can simulate user interactions, verify widget states, and test widget rendering across different screen sizes and orientations.

Here's an example of a widget test:

import 'package:flutter_test/flutter_test.dart';
import 'package:flutter/material.dart';

void main() {
  testWidgets('Button changes text when pressed', (WidgetTester tester) async {
    await tester.pumpWidget(MaterialApp(
      home: Scaffold(
        body: ElevatedButton(
          onPressed: () {},
          child: Text('Button'),
        ),
      ),
    ));

    expect(find.text('Button'), findsOneWidget);
    await tester.tap(find.byType(ElevatedButton));
    await tester.pump();

    expect(find.text('Button Pressed'), findsOneWidget);
  });
}

In this example, we create a widget test using the testWidgets function from the flutter_test package. We use the pumpWidget function to build and display the widget hierarchy. Then, we use the find function to locate the widget we want to interact with, and the tap function to simulate a tap on the widget. Finally, we assert that the widget's text changes to 'Button Pressed' after the tap.

3. Integration Testing​

Integration testing focuses on testing the interaction between multiple components of your application, such as different screens, databases, APIs, and external dependencies. Flutter provides a powerful testing framework called Flutter Driver, which allows you to write integration tests that interact with your app as if a real user were using it. Integration tests help identify issues related to navigation, data flow, and interactions between different parts of your app.

Here's an example of an integration test:

import 'package:flutter_driver/flutter_driver.dart';
import 'package:test/test.dart';

void main() {
  FlutterDriver driver;

  setUpAll(() async {
    driver = await FlutterDriver.connect();
  });

  tearDownAll(() async {
    if (driver != null) {
      driver.close();
    }
  });

  test('Login and navigate to home screen', () async {
    await driver.tap(find.byValueKey('username_field'));
    await driver.enterText('john_doe');
    await driver.tap(find.byValueKey('password_field'));
    await driver.enterText('password123');
    await driver.tap(find.byValueKey('login_button'));

    await driver.waitFor(find.byValueKey('home_screen'));
  });
}

In this example, we use the flutter_driver package to write an integration test. We set up a connection to the Flutter driver using the FlutterDriver.connect method. Then, we define a test that simulates a login flow by interacting with various widgets using the tap and enterText methods. Finally, we assert that the home screen is successfully displayed.

Test-Driven Development (TDD)​

Test-Driven Development is a software development approach that emphasizes writing tests before writing the actual code. With TDD, you define the desired behavior of your app through tests and then write code to fulfill those test requirements. Flutter's testing tools and frameworks integrate seamlessly with TDD practices, making it easier to build reliable and maintainable applications. By writing tests first, you ensure that your code is thoroughly tested and behaves as expected.

Continuous Integration and Delivery (CI/CD)​

Incorporating a robust CI/CD pipeline for your Flutter app is crucial to automate the testing process and ensure consistent quality across different stages of development. Popular CI/CD platforms like Jenkins, CircleCI, and GitLab CI/CD can be integrated with Flutter projects to run tests automatically on every code commit or pull request.

Additionally, you can leverage tools like Firebase Test Lab to test your app on various physical and virtual devices, ensuring compatibility and performance across different configurations.

Using Tools for Testing​

Using tools like Firebase, Instabug, BugSnag and Appxiom to detect performance issues and other bugs will help you in detecting bugs which may otherwise go undetected in manual testing. They provide detailed bug reports with data that will help you to reproduce the bug and identify the root cause.

Conclusion​

Testing is an integral part of the Flutter app development process, ensuring that your app functions as intended and delivers an excellent user experience. By following the practices outlined in this comprehensive guide and using the provided code samples, you can build a solid testing strategy for your Flutter mobile apps.

Remember to invest time in writing unit tests, widget tests, and integration tests, and consider adopting test-driven development practices. Furthermore, integrating your testing efforts with a reliable CI/CD pipeline will help you maintain a high level of quality and efficiency throughout the development lifecycle.

Last but not the least, use tools like Firebase, Instabug, BugSnag and Appxiom to detect performance issues and bugs.

Happy testing!

Flutter is an open-source mobile application development framework created by Google. It's designed to help developers build beautiful and high-performance apps for iOS, Android, and the web. Like any software development process, developing a Flutter app involves debugging and testing your code to ensure it's working as expected.

In this blog post, we'll discuss some tips for debugging your Flutter app, along with some code samples to help you get started.

Use print statements​

One of the most basic but effective ways to debug your Flutter app is by using print statements. With print statements, you can easily log values and variables to the console to see what's happening in your app. You can use print statements to track the execution of your code and check for errors or unexpected behavior.

For example, let's say you have a function that's not returning the expected value. You can add a print statement inside the function to see what's going on:

int add(int a, int b) {
  print('Adding $a and $b');
  int result = a + b;
  print('Result: $result');
  return result;
}

In this example, we've added two print statements inside the add function to log the values of a, b, and result to the console. This can help you identify any issues with your code and understand how it's executing.

Use breakpoints​

Another useful debugging tool in Flutter is breakpoints. Breakpoints allow you to pause the execution of your code at specific points and examine the state of your app. You can use breakpoints to step through your code line by line, inspect variables and objects, and identify any issues with your code.

To add a breakpoint in Flutter, you can simply click on the line number in your code editor. When your app reaches that line, it will pause execution and allow you to inspect the state of your app. You can then step through your code using the debugging controls in your IDE.

For example, let's say you have a button in your app that's not working as expected. You can add a breakpoint inside the button's onPressed function to see what's happening:

FlatButton(
  child: Text('Click me'),
  onPressed: () {
    // Add a breakpoint here
    print('Button clicked');
    // Rest of the code
  },
);

In this example, we've added a breakpoint inside the onPressed function of a FlatButton. When we click the button, the app will pause execution at the breakpoint and allow us to examine the state of the app.

Use Flutter DevTools​

Flutter DevTools is a powerful debugging tool that provides a graphical user interface for inspecting and debugging your Flutter app. DevTools can help you identify performance issues, examine the widget tree, inspect network requests, and much more.

To use DevTools, you'll need to install it and connect it to your running app. You can do this by following these steps:

• Open a terminal window and navigate to your Flutter project directory.

• Run the command flutter packages get to ensure you have all the required dependencies.

• Run the command flutter pub global activate devtools to install DevTools.

• Run your Flutter app using the command flutter run --enable-vmservice.

• Open your browser and navigate to http://localhost:8080.

Once you've connected DevTools to your app, you can start exploring its features. You can use the Widget Inspector to examine the widget tree and identify any issues with your UI. You can use the Performance tab to identify performance issues and optimize your app's performance. And you can use the Network tab to inspect network requests and responses.

Use assert statements​

Assert statements are another useful debugging tool in Flutter. Assert statements allow you to check for conditions that should always be true and throw an exception if the condition is false. You can use assert statements to catch errors early in your development process and ensure your code is working as expected.

For example, let's say you have a function that should only be called if a certain condition is true. You can add an assert statement inside the function to check the condition:

void doSomething(bool condition) {
  assert(condition, 'Condition is not true');
  // Rest of the code
}

In this example, we've added an assert statement inside the doSomething function to check the condition parameter. If the condition is false, the assert statement will throw an exception with the message "Condition is not true". This can help you catch errors early in your development process and ensure your code is working as expected.

Use logging libraries​

In addition to print statements, you can also use logging libraries to log values and variables to the console. Logging libraries allow you to log different types of messages at different levels of severity, making it easier to filter and analyze your logs.

One popular logging library for Flutter is logger. logger provides a simple API for logging messages at different levels of severity, including debug, info, warning, and error. You can use logger to log messages to the console, a file, or a remote server.

Here's an example of how you can use logger in your Flutter app:

import 'package:logger/logger.dart';

void main() {
  Logger logger = Logger();

  logger.d('Debug message');
  logger.i('Info message');
  logger.w('Warning message');
  logger.e('Error message');
}

In this example, we've created an instance of Logger and used it to log messages at different levels of severity. By default, logger logs messages to the console, but you can configure it to log messages to a file or a remote server.

Add APM and bug detection tools​

Another way to ensure your Flutter app is working as expected is to use Application Performance Management (APM) and bug detection tools. APM and bug detection tools can help you identify performance issues, monitor user behavior, track errors and crashes in real-time, identify issues in your code, including memory leaks, null pointer exceptions, and other common programming errors.

Some popular APM and bug detection tools for Flutter include:

• Firebase Performance Monitoring: Firebase Performance Monitoring is a tool that helps you monitor the performance of your Flutter app, including network latency, app startup time, and UI rendering time. You can use Firebase Performance Monitoring to identify performance bottlenecks and improve the user experience of your app.

• Sentry: Sentry is an error tracking and bug detection tool that helps you identify and diagnose errors and crashes in your Flutter app. Sentry provides real-time alerts and detailed error reports, making it easy to identify and fix issues in your code.

• Appxiom: Appxiom is a lightweight Dart plugin that works both as an APM tool and a bug detection tool. It captures performance issues and bugs including network calls failures, memory leaks and abnormal memory usage, frame rate issues and crashes.

• Instabug: Instabug is a bug reporting and feedback tool that helps you collect user feedback and bug reports from your Flutter app. Instabug allows you to take screenshots, record videos, and attach logs and device details to bug reports, making it easy to diagnose and fix issues in your app.

By adding APM and bug detection tools to your Flutter app, you can ensure that your app is performing well, identify and fix issues quickly, and provide a great user experience for your users.

Conclusion​

Debugging your Flutter app can be a challenging task, but with the right tools and techniques, you can identify and fix issues quickly and efficiently. In this blog post, we've discussed some tips for debugging your Flutter app, including using print statements, breakpoints, Flutter DevTools, assert statements, logging libraries, and using APM and bug detection tools to ensure that your Flutter app is performing well and to identify and fix issues quickly. By using these techniques and tools, you can ensure that your Flutter app is working as expected and provide a great user experience for your users.

Flutter has gained immense popularity among mobile app developers due to its ability to create high-performance and visually appealing cross-platform apps. However, like any other technology, it has its fair share of bugs and issues that can impact the performance of the app.

In this blog, we will discuss some of the most common bugs and performance issues that developers face while developing Flutter apps.

State Management Issues​

One of the most common issues that developers face in Flutter is state management. If not handled properly, state management can lead to bugs and performance issues. When the app's state changes, it can lead to a chain of rebuilds in the widgets tree. This can affect the app's performance and lead to lag and jank.

To handle state management in Flutter, developers can use stateful widgets or state management libraries like Provider, Redux, MobX, or BLoC. These libraries help to manage the app's state efficiently and minimize rebuilds in the widget tree.

Memory Leaks​

Memory leaks occur when objects that are no longer needed are not disposed of properly, leading to excessive memory usage. In Flutter, memory leaks can occur when widgets and their associated objects are not disposed of when they are no longer needed.

To avoid memory leaks, developers can use the dispose() method to dispose of objects when they are no longer needed. Developers can also use Flutter's built-in widget tree inspector to identify memory leaks and fix them.

class MyHomePage extends StatefulWidget {
  @override
  _MyHomePageState createState() => _MyHomePageState();
}

class _MyHomePageState extends State<MyHomePage> {
  final _myController = TextEditingController();

  @overridevoid dispose() {
    _myController.dispose();
    super.dispose();
  }

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: Text('Memory Leak Example'),
      ),
      body: Center(
        child: TextField(
          controller: _myController,
        ),
      ),
    );
  }
}

Widget Tree Rebuilds In Flutter​

The widget tree rebuilds every time the app's state changes. This can lead to performance issues if the widget tree is too complex. To avoid unnecessary widget tree rebuilds, developers can use the shouldRebuild() method in the shouldNotify() method of ChangeNotifier.

import 'package:flutter/material.dart';

class CounterModel extends ChangeNotifier {
  int _counter = 0;

  int get counter => _counter;

  void increment() {
    _counter++;
    // Use notifyListeners only when the state has actually changed
    notifyListeners();
  }

  // Override shouldNotify to prevent unnecessary widget rebuilds@override
  bool shouldNotify(CounterModel old) => old.counter != counter;
}

class MyHomePage extends StatelessWidget {
  final CounterModel counter = CounterModel();

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: Text('My App'),
      ),
      body: Column(
        mainAxisAlignment: MainAxisAlignment.center,
        children: [
          MyTextWidget(
            counter: counter,
          ),
          ElevatedButton(
            child: Text('Increment Counter'),
            onPressed: () {
              counter.increment();
            },
          ),
        ],
      ),
    );
  }
}

class MyTextWidget extends StatelessWidget {
  final CounterModel counter;

  const MyTextWidget({Key key, this.counter}) : super(key: key);

  @override
  Widget build(BuildContext context) {
    return Text('Counter: ${counter.counter}');
  }
}

In this example, we've created a CounterModel class that extends ChangeNotifier and contains a counter value. We've overridden the shouldNotify method to prevent unnecessary widget rebuilds when the counter value changes.

The shouldNotify method is called by the framework every time a ChangeNotifier's notifyListeners method is called. It takes an old ChangeNotifier object as an argument and returns true if the widget should be rebuilt or false if the widget should not be rebuilt.

In this case, we're checking if the counter value of the old and new objects is the same. If it's different, we return true to indicate that the widget should be rebuilt. If it's the same, we return false to indicate that the widget should not be rebuilt.

By using the shouldNotify method to prevent unnecessary widget rebuilds, you can improve the performance of your Flutter app and reduce the amount of unnecessary work the framework has to do.

Image Caching Issues​

Flutter uses an image caching mechanism to improve app performance by caching images locally. However, this can lead to issues if the images are not disposed of properly, leading to memory leaks and other performance issues.

To avoid image caching issues, developers can use the precacheImage() method to cache images before they are needed. Developers can also use the imageCache.clear(); method to clear the image cache when it's no longer needed.

class MyImage extends StatelessWidget {
  final String imageUrl;

  const MyImage({Key key, @required this.imageUrl}) : super(key: key);

  @override
  Widget build(BuildContext context) {
    // Precache the image before it is displayed
    precacheImage(NetworkImage(imageUrl), context);

    return Image.network(imageUrl);
  }
}

// To clear the image cache, use the clearCache() methodclass MyHomePage extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: Text('My App'),
      ),
      body: Center(
        child: ElevatedButton(
          child: Text('Clear Image Cache'),
          onPressed: () {
            // Clear the image cache
            imageCache.clear();
          },
        ),
      ),
    );
  }
}

Inefficient Animations​

Animations can make Flutter apps visually appealing but can also impact app performance if not optimized properly. Inefficient animations can lead to jank and lag, especially on lower-end devices.

To optimize animations in Flutter, developers can use the AnimatedBuilder widget to build animations efficiently. Developers can also use the TickerProviderStateMixin to synchronize animations with the app's frame rate, reducing jank and lag.

class MyAnimation extends StatefulWidget {
  @override
  _MyAnimationState createState() => _MyAnimationState();
}

class _MyAnimationState extends State<MyAnimation>
    with SingleTickerProviderStateMixin {
  AnimationController _controller;

  @overridevoid initState() {
    super.initState();
    _controller = AnimationController(
      duration: const Duration(seconds: 1),
      vsync: this,
    )..repeat(reverse: true);
  }

  @overridevoid dispose() {
    _controller.dispose();
    super.dispose();
  }

  @overrideWidget build(BuildContext context) {
    return AnimatedBuilder(
      animation: _controller,
      builder: (BuildContext context, Widget child) {
        return Transform.rotate(
          angle: _controller.value * 2.0 * math.pi,
          child: child,
        );
      },
      child: Container(
        width: 200.0,
        height: 200.0,
        color: Colors.blue,
      ),
    );
  }
}

Conclusion​

Flutter is a powerful and efficient framework for building cross-platform apps. However, like any other technology, it has its own set of bugs and issues that developers need to be aware of.

By using proper state management techniques, disposing of objects properly, avoiding unnecessary widget tree rebuilds, optimizing image caching, and using efficient animations, developers can build high-performance Flutter apps that provide a great user experience.

Debugging is an essential aspect of software development. As a Kotlin Android developer, you need to be proficient in debugging your code to identify and fix errors efficiently. However, debugging can be a challenging task, especially when dealing with complex projects.

In this blog, we'll explore some debugging tips for Kotlin Android developers to make their debugging process more efficient and effective.

1. Use Logcat​

Logcat is a built-in debugging tool in Android Studio that displays system messages, including errors, warnings, and debug messages. Logcat provides useful information about the application's behavior and helps you identify errors in your code. You can use the Logcat tool to filter messages by tag, process, and severity level. For example, you can filter messages to display only error messages or messages from a specific process.

Here's how to use Logcat in Android Studio:

• Open Android Studio and run your application.

• Open the Logcat tool by clicking on the Android Monitor tab at the bottom of the screen.

• Select your device or emulator from the drop-down menu.

• Filter the messages by process, tag, or severity level.

For example, you can filter the messages to display only error messages by entering "E" in the search box. You can also filter messages to display only messages from your application by entering your application's package name in the search box.

2. Use Breakpoints​

Breakpoints are a useful tool for debugging complex applications. A breakpoint is a marker that you can place in your code to pause the execution of your program and examine the state of your application. You can use breakpoints to step through your code line by line and examine the values of variables and objects.

Here's how to use breakpoints in Android Studio:

• Open your code in Android Studio.

• Click on the line number where you want to set the breakpoint.

• Run your application in debug mode.

• When your application reaches the breakpoint, it will pause execution, and you can examine the state of your application.

You can add multiple breakpoints in your code to examine different parts of your application. You can also add conditions to your breakpoints to pause execution only when certain conditions are met.

3. Use Android Profiler​

Android Profiler is a tool in Android Studio that helps you identify performance issues in your application. Android Profiler provides real-time performance metrics, including CPU usage, memory usage, and network activity. You can use Android Profiler to identify performance bottlenecks in your application and optimize your code.

Here's how to use Android Profiler in Android Studio:

• Open Android Studio and run your application.

• Open the Android Profiler tool by clicking on the Android Profiler tab at the bottom of the screen.

• Select your device or emulator from the drop-down menu.

• Start profiling by clicking on the "Start" button.

Android Profiler displays real-time performance metrics for your application. You can use the tool to identify performance bottlenecks and optimize your code.

4. Use Debugging Plugins​

Debugging plugins are third-party tools that provide additional debugging functionality to Android Studio. There are many debugging plugins available for Android Studio, including CodeGlance, Rainbow Brackets, and IntelliJ Debugger Enhancements.

Here are some of the popular debugging plugins for Android Studio:

• CodeGlance: CodeGlance is a plugin that adds a code minimap to the editor window. The minimap provides an overview of your code and helps you navigate your code quickly.

• Rainbow Brackets: Rainbow Brackets is a plugin that adds color to your code's brackets. The plugin makes it easier to identify matching brackets in your code.

• IntelliJ Debugger Enhancements: IntelliJ Debugger Enhancements is a plugin that provides additional debugging functionality to the debugger in Android Studio. The plugin adds features such as conditional breakpoints, function breakpoints, and breakpoint filters.

To install a plugin in Android Studio, follow these steps:

• Open Android Studio.

• Click on "File" in the top menu and select "Settings".

• Click on "Plugins" in the left-hand menu.

• Click on the "Marketplace" tab and search for the plugin you want to install.

• Click on "Install" and follow the instructions.

Once the plugin is installed, you can access its functionality by clicking on the plugin icon in the toolbar.

5. Use Unit Tests to verify behavior of Kotlin code​

Unit tests are an essential tool for debugging your code. Unit tests are small, automated tests that verify the behavior of a single unit of code. Unit tests can help you identify errors in your code and ensure that your code is functioning as expected.

Here's how to write a unit test in Kotlin:

• Create a new Kotlin class in your project.

• Add the @Test annotation to a function to indicate that it is a unit test.

• Write code to set up the test environment, such as creating objects or setting up mock data.

• Call the function you want to test.

• Use assert statements to verify that the function behavior is correct.

For example, here is a simple unit test for a function that adds two numbers:

class MathUnitTest {
    
    @Test
    fun testAddition() {
        val result = add(2, 3)
        assertEquals(5, result)
    }

    private fun add(a: Int, b: Int): Int {
        return a + b
    }
}

In this unit test, the add function is tested by passing in two numbers and verifying that the result is correct.

Use APM & bug detection tools​

Application Performance Management (APM) tools and bug detection tools are useful for detecting and resolving issues in your app. These tools can help you identify performance bottlenecks, memory leaks, and other issues that can affect the user experience. Most of the tools works seamlessly in development, testing and live phases of the app.

Some popular APM and bug detection include Firebase, New Relic, Sentry, Bugsnag and Appxiom. These tools can provide insights into your app's performance by tracking network requests, CPU usage, UI thread blocks, crashesframe rate issues and memory consumption. These tools can also automatically capture and report errors and crashes, providing you with detailed information about the issue, including stack traces, device information, and other valuable information that will help you in reproducing the issue.

Conclusion​

Debugging is an essential skill for Kotlin Android developers. By using the tools and techniques outlined in this blog, you can make your debugging process more efficient and effective.

Use Logcat to identify errors, breakpoints to step through your code, Android Profiler to optimize performance, debugging plugins to enhance functionality, unit tests to verify the behavior of your code and APM and bug detection tools to continuously monitor performance and presence of bugs.

Happy debugging!

Performance testing is a critical aspect of iOS app development. It ensures that the app performs optimally, providing a seamless user experience. With millions of apps available in the App Store, it is imperative that an iOS app must perform well to succeed.

In this blog, we will explore what iOS app performance testing is, the best practices to follow, and the tools available.

What is iOS App Performance Testing?​

iOS app performance testing is the process of testing an application's performance and behavior on iOS devices. The testing process includes evaluating the app's response time, speed, stability, scalability, and resource utilization. The goal of iOS app performance testing is to identify any performance issues before the app is released to the public.

What to test?​

• Memory usage including memory leaks, abnormal memory usage, memory spikes.

• Battery drain

• CPU usage

• Network call performance issues, Error status codes in responses, delayed calls, duplicate calls.

• App Hang

• Screen responsiveness

• User flow and logic

Steps in iOS App Performance Testing​

• Define Test Objectives - The first step in iOS app performance testing is to define the test objectives. This includes identifying the target audience, user scenarios, and performance goals.

• Identify Performance Metrics - The next step is to identify the performance metrics that need to be tested. This includes response time, speed, stability, scalability, and resource utilization.

• Create Test Environment - The test environment should be created to simulate real-life scenarios. This includes configuring the hardware and software components, network conditions, and device settings.

• Develop Test Plan - A detailed test plan should be developed, outlining the test scenarios, test cases, and expected results.

• Execute Test Plan - The test plan should be executed as per the defined scenarios, and the app's performance should be evaluated under different conditions.

• Analyze Test Results - The test results should be analyzed to identify performance issues and bottlenecks.

• Optimize App Performance - Based on the test results, the app's performance should be optimized to ensure that it meets the performance goals and objectives.

Tools for iOS App Performance Testing​

• Xcode Instruments - Xcode Instruments is a powerful tool that can be used for iOS app performance testing. It provides a wide range of profiling and debugging tools that can help identify and resolve performance issues.

• Charles Proxy - Charles Proxy is a tool that can be used to monitor network traffic, including HTTP and SSL traffic. It can be used to test the app's performance under different network conditions.

• XCTest - XCTest is an automated testing framework provided by Apple for testing iOS apps. It can be used to create automated performance tests.

• Firebase Test Lab - Firebase Test Lab is a cloud-based testing platform that provides a wide range of testing capabilities, including performance testing.

• BrowserStack - Cloud based testing platform with a range of features to identify and debug issues while testing.

• Appxiom - SaaS platform that reports performance issues and bugs in iOS apps in real time. It detects Memory issues, screen responsiveness, crashes, rendering issues, network call issues over HTTP and HTTPS and much more in development, testing and live phases of the app.

Best Practices for iOS App Performance Testing​

• Test Early and Often - iOS app performance testing should be an integral part of the development process, and testing should be done early and often.

• Use Real Devices - Testing should be done on real devices to simulate real-life scenarios accurately.

• Define Realistic Test Scenarios - Test scenarios should be defined based on real-life scenarios to ensure that the app's performance is tested under realistic conditions.

• Use Automated Testing - Automated testing should be used to reduce the testing time and improve accuracy.

• Monitor App Performance - App performance should be monitored continuously to identify any performance issues and bottlenecks.

• Collaborate with Developers - Collaboration between testers and developers can help identify and resolve performance issues early in the development process.

Conclusion​

iOS app performance testing ensures that the app performs optimally, providing a seamless user experience. By following best practices and using the right tools, iOS app developers can identify and resolve performance issues early in the development process, resulting in a high-quality app that meets the user's expectations. It is essential to test the app's performance under different conditions to ensure that it performs well under all circumstances. Therefore, app performance testing should be an integral part of the iOS app development process.

Performance monitoring and continues bug monitoring are critical parts of the Mobile App development lifecycle. As mobile devices become more powerful and users expect more from their apps, it is essential to ensure that apps are performing well and are free of bugs. One way to achieve this is by using Application Performance Management (APM) tools.

APM tools are designed to help mobile app testers and developers detect and diagnose performance issues and bugs in their apps. These tools provide a wide range of information about an app's performance, including memory usage, CPU usage, network activity, and more. This information can be used to identify bottlenecks, memory leaks, and other issues that can negatively impact an app's performance.

One of the main benefits of using APM tools is that they can help app developers and testers find and fix performance issues before they become a problem for users. By identifying issues early in the development process, teams can make changes to improve performance and ensure that the app is stable and reliable. This can help reduce the number of crashes and improve the overall user experience.

Another benefit of using APM tools is that they can help developers and testers understand how users are interacting with their apps. This can be especially useful for understanding how different user segments are interacting with the app, which can help teams optimize the user experience and make improvements that will have the biggest impact.

In short, APM tools are an essential tool for mobile app testers and developers. They help teams identify and fix performance issues and bugs, improve the user experience, and ensure that apps are stable and reliable. By using APM tools, teams can deliver better quality apps and create a more positive user experience.

Visit appxiom.com to know more about how Appxiom can help you with monitoring performance and bugs in mobile apps.

One major objective for any app developer is to make sure that their iOS app is smooth and responsive. So, how does one make sure the app is responsive? The rule of thumb is that an application should be able to react to user inputs and touches within 250ms.

If the response time is above 250 ms then the delay becomes apparent and will be noticeable to the app user. iOS documentation categorizes any app response delay that persists for more than 250 ms as App hang.

What developers need is a proper way to identify and fix App hangs. XCode organizer and bug reporting tools like MetricKit and Appxiom report App hangs. Reports generated by xcode organizer and MetricKit are not real-time and they also miss App Hangs at times.

Appxiom reports App hangs that occur in the application in real-time and supports development, Test Flight and App Store builds. Because the reports are real-time, most App Hang situations will be captured.

Analyzing an App Hang Report​

Here are some of the metrics needed for deeper analysis from an App hang report generated by Appxiom,

• Top iOS versions affected.

• Top device models affected.

• First app version where the issue is detected.

• Number of occurrences of the issue.

• Total time for which the app was unresponsive.

• Stack trace to identify the point of hang.

Appxiom provides App hang issue reports with these metrics.

Top OS versions, Device models and countries where App hang was reportedNumber of Devices and total occurrence count of App hang issuePrevious app versions, if any, where the same App hang issue was reportedIn most cases the stack trace provided with the issue should give indication of where the root cause lies.

Stack-trace indicating the point of origin of App hang issueThere could be situations where stack trace alone might not be sufficient. This is when the rest of the metrics help.

Look for patterns like the top OS versions, device models and the app version where this issue first occurred in the issue report. Occurrences count of the issue will provide a sense of how severe the issue is. Using the combination of these, developers will be able to prioritize and create the test device configuration to reproduce the issue.

Next step is to retrace how the user interacted with the app when the issue occurred. Activity trail, which is a chronologically ordered list of events that happened prior to the App hang which is provided with each App hang issue report in Appxiom dashboard. It will have events like the lifecycle of the different viewcontrollers, network changes and state changes of the app along with custom events that are set by the developer.

Activity trail listing events that occurred prior to App hang issue.This will help developers to retrace the app events to identify and reproduce the issue.

How to avoid App Hang situations.​

Now that we know how to detect and fix App hangs, let us explore ways to prevent App hangs.

In order to achieve this the main thread of the app should be free from running intensive operations as the application gets frozen when the main thread is stuck.

Now what this means is, execute only tasks that interact with the user interface in the main thread i.e UIKit, AppKit, or SwiftUI based tasks. So how does one execute other long running tasks? Use background threads directly or either through the operation queue or through the Grand Central Dispatch queue to execute such operations.

Let us take the example of a simple HTTP(s) request and using its response data to update a tableview in the app. It is not just the HTTP(s) request that we execute in the separate thread, but de-serializing the JSON object from the response data should be executed outside of the main thread as well. Only the actual tableview update code needs to be executed in the main thread.

Following this coding practice will lower the possibility of App hang issues in your application.

Appxiom is available for Objective-C and Swift in iOS and watchOS, and for Java and Kotlin in Android. Click here to get started.

ChatGPT is brilliant, and awesome. I asked what I should do to reduce bug fixing time. This is the reply 👇.

•  There are several ways that you can reduce the time required to fix bugs, including the following:

Use automated testing tools: Automated testing tools can help to quickly identify and diagnose bugs, allowing developers to focus their efforts on fixing the issues rather than manually testing for them.

• Prioritize bug fixes: Prioritizing the most important or severe bugs can help to ensure that the most critical issues are addressed first, saving time and effort in the long run.

• Use debugging tools: Debugging tools can help to quickly identify the source of a bug, allowing developers to fix the issue more efficiently.

• Collaborate and communicate: Effective collaboration and communication among team members can help to identify and resolve bugs more quickly, saving time and effort.

• Adopt agile development methodologies: Agile development methodologies, such as Scrum and Kanban, can help teams to quickly identify and fix bugs, as well as adapt to changing requirements and priorities.

Overall, using a combination of these strategies can help to reduce the time and effort required to fix bugs.

 I'm like .. Impressed !!!

Clear, and to the point.

Do as ChatGPT suggests, and you will indeed reduce bug fixing time.

On a side note, Appxiom helps you with first 3 points, and 4th point to an extend.

Now that you are here, I recommend to you this blog post. How to reduce bug fixing time in mobile apps.