How do you identify bottlenecks in mobile app performance testing?

1. Define Performance Metrics 2. Set Performance Goals: Establish benchmarks that align with your app's requirements and user expectations. 3. Test Under Various Conditions: Conduct load testing, stress testing, network testing, and device testing to expose bottlenecks. 4. Profiling and Monitoring: Use profiling tools and real-time monitoring to gather performance data and spot bottlenecks as they happen. 5. User Scenario Testing: Test real-world user scenarios to identify performance bottlenecks. 6.User Feedback 7.Regression Testing: After improvements, perform regression testing to verify fixes. 8.Optimize and Retest

With time, I've come to see bottlenecks as the silent adversaries of user satisfaction. They're the hidden hurdles that, when not addressed, can turn a promising app into a frustrating experience. Network latency feels like a never-ending highway traffic jam, and server performance is the engine that needs to be in top shape. Behind the scenes, database queries are like puzzles to optimize, and ensuring that our app doesn't devour a user's device resources is an ongoing challenge. It's a balancing act to provide a smooth ride for users through their mobile app journey, but it's a rewarding one when we get it right.

Device itslef could be a bottleneck if it is incompatible with app. Network latency is one aspect in addition to Network utilization, network infrastructure ', IP routes... etc

To identify bottlenecks in mobile app performance testing: Set performance goals. Collect baseline metrics. Choose relevant testing types. Use performance testing tools. Profile app for CPU and memory issues. Analyze network requests and responses. Employ memory analysis tools. Test on real devices and emulators. Implement user monitoring. Incorporate user feedback. Collaborate with teams. Consider load balancing and scalability. Account for external factors. Implement production monitoring. These steps help pinpoint issues and optimize mobile app performance.

Identifying bottlenecks in mobile app performance testing means finding the parts in your app where things slow down or don't work well. Here's how you can do it in simpler terms: Know What to Look For: Before testing, figure out what's important. This could be how fast the app responds, how long it takes to load, or how much the phone's battery it uses. Use Special Tools: There are special tools that help you see what's going on in the app. For example, they can show if the app is using too much of the phone's brainpower (CPU) or if it's using up a lot of memory. Check the Internet: If your app connects to the internet, look at how it's talking to the web. Sometimes, slow internet connections or big chunks of data can make your app slow

As someone who has experience in mobile apps, I focus on these steps to make sure our app works well: Check how quickly it responds and loads. Make sure animations run smoothly. Keep an eye on how it uses network, battery, and memory. Note any crashes or errors. Listen to what users say. Test it on real devices. Use tools to dig into its performance. See how it compares to what's considered good. Keep watching and improving.

Mobile handset type is another dimension in measuring the app performance. Sometimes app performance varies among different handsets under same condition. Ios vs android for example.

I feel that these are the processes for ensuring app performance and simulating mobile app load and stress, which include: Defining Scenarios: Understanding different usage patterns. Choosing Tools: Selecting the right testing tools. Creating Scripts: Developing test scripts. Configuring Users: Setting virtual user counts. Running Load Tests: Executing tests and monitoring metrics. Stress Testing: Pushing app limits. Analyzing Results: Identifying issues. Optimizing and Retesting: Making improvements and retesting. Automation: Setting up regular automated tests. Real-Device Testing: Validating performance on actual devices. This process ensures our app delivers a great user experience under varying conditions.

I really have the impression this is tool advertising here. I would be curious to see a modelled interaction between all the tools mentioned in this poll

Personally, I feel that by following these steps, you can effectively spot and address app performance issues. User Feedback: Listen to user complaints and reviews. Crash Reports: Analyze crash reports. Performance Monitoring Tools: Use performance monitoring tools. Network Analysis: Check network requests. Memory Profiling: Look for memory issues. CPU Profiling: Identify CPU-consuming code. Battery Usage Analysis: Monitor battery impact. UI Inspection: Examine UI for issues. Load Testing: Simulate heavy loads. Real-Device Testing: Test on various devices. Code Review: Review for inefficiencies. Backend Monitoring: Check backend performance. Beta Testing: Gather data from beta testers. Continuous Monitoring:

Preventing mobile app performance bottlenecks is like ensuring a smooth, congestion-free highway for your users. It begins with meticulous planning, much like designing efficient traffic routes. You choose the right materials (optimized code) for constructing roads (app features) and make sure traffic signals (UI interactions) are well-timed. As traffic (user load) increases, you widen lanes (scaling resources) and use smart traffic management systems (efficient algorithms). You conduct stress tests, simulating traffic jams (peak loads), to identify potential bottlenecks and clear them before they cause delays. In this way, you create an app experience that flows smoothly, no matter how many users are on the road

Now wie are coming to the constructive core of the discussion . The question is always : * Do we Start top down (waterfall)? * Do we start bottom up (agile)? The magic lies in the collaborative, parallel combination of both to become a good turing tester

A very interesting development in this area is the adoption of Slicing and URSP, from Android and IOS in 5G SA mode. With 4G and 5G NSA connections, all the Apps share the same network resources. It is like one High-way for all the different types of vehicles. With Slicing capabilities in the 5G SA mode, the UE can provide network resources according to each Application needs. It is like we have different lanes of different size dedicated for different vehicle types. For example, Apps that need low latency or high bandwidth can route their traffic to specific network slices with these characteristics. Slicing in 5G SA mode will improve a lot the mobile Apps performance. It is expected that until 2025 more CSP networks will implement 5G SA.