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Common Misconceptions About Test Automation (And the Reality)

  Test automation is often discussed as a cure-all for software quality problems. Teams adopt automation expecting faster releases, fewer bugs, and lower costs. When those outcomes do not appear immediately, automation is blamed rather than the assumptions behind it. In reality,  automation testing is effective  only when teams understand what it can and cannot do. Many challenges associated with automation stem from misconceptions that shape poor decisions early on. This article breaks down common misunderstandings about test automation and explains how teams should think about it instead. 5 Common Misconceptions About Test Automation That you Need to Know 1. Automation Testing Replaces Manual Testing A common belief is that once automation is in place, manual testing becomes unnecessary. This view treats automation as a replacement for human judgment. In practice, automation testing handles repetition, consistency, and scale. Manual testing supports exploration, usabili...

Enhance Your Mobile Testing Strategy with These 5 Essential Tips

  Introduction Do you require assistance to ensure your mobile app launches flawlessly and without any bugs or complaints from users? Your mobile testing strategy should be your only focus. You run the danger of saving time and money by skipping this critical step in your mobile development process and potentially losing out on a sizable chunk of your market potential. Consumers in the US now spend more time on mobile applications than on traditional television, on average. However, Mobile app developers are given more responsibilities due to this expanding trend. The consumer experience can be negatively impacted by a broken mobile app, which can also impede sales and decrease customer loyalty. Even businesses with solid proof of concepts are averse to the dangers of including flaws in the app development process. Increased testing can prevent bugs from being found and fixed in early app deployments. This leads to unpleasant user experiences, high uninstallation rates, and lost re...

Key Performance Metrics Every Android App Should Track

Every Android app lives or dies by how well it performs in the real world. Users don’t care how clever your architecture is if the app lags, crashes, or burns through battery. That’s where android app performance testing comes into play. Tracking the right metrics isn’t just nice-to-have — it’s essential to deliver experiences people stick with and recommend. Performance isn’t just technical data. It shapes user perception, retention, session length, and ultimately the success of your product. But what should you actually measure? Let’s break down the key performance metrics every Android team should be watching 1. App Launch Time When a user taps your app icon, they expect it to start instantly. Launch time measures how long it takes from that tap to when the first meaningful content is visible. Slow startup times increase abandonment and give a lousy first impression. Industry guidance even suggests aiming for cold starts under 500 ms when possible. This metric is both technical and ...

Test Scenarios vs Test Cases: Key Differences Explained

  Introduction In software testing, teams need clarity on both  what  to test and  how  to test it. This is where the distinction between  test scenarios  and  test cases  becomes important. While the two are closely related, they operate at different levels of detail. This distinction becomes even more critical when  testing real user journeys across devices , regions, and network conditions. Let's learn them in detail in this blog post. What Is a Test Scenario? A test scenario is a high-level description of a feature, workflow, or user journey that needs to be tested. It defines the scope of testing by answering a simple question:  what needs validation? Test scenarios  focus on end-to-end behaviour rather than individual steps. They are usually derived from requirements, user stories, or business flows and help teams ensure that all important paths through the application are covered. Examples of test scenarios in BFSI App C...

Private vs Public Device Farms: Choosing the Right Model for Regulated Industries

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  Mobile applications are now a primary channel for regulated industries such as banking, healthcare, telecom, and government services. These apps handle sensitive user data, support critical transactions, and are subject to strict compliance requirements. As a result, testing infrastructure is no longer a purely technical concern. It is part of the organization’s risk and compliance boundary. Device farms play a central role in  mobile app testing  by providing access to real devices at scale. However, not all device farm models are suitable for regulated environments. The choice between public and private device farms directly affects data exposure, audit readiness, and overall testing reliability. Understanding how these models differ helps regulated teams make informed decisions about where and how they test their mobile applications. Why regulated industries need real device testing for mobile apps Emulators and simulators are useful during early development, but the...