Testing Frameworks

Calabash is an open-source automated testing framework for mobile applications, allowing behavior-driven testing for Android and iOS apps. However, users often encounter issues such as installation failures, test script execution errors, device connectivity issues, and UI interaction inconsistencies. These challenges can disrupt mobile test automation workflows.

Selendroid is an open-source automation testing framework for Android applications, allowing UI tests across multiple devices and emulators. However, users often encounter issues such as installation failures, device connection problems, element interaction failures, and test execution errors. These challenges can impact test automation efficiency and reliability.

Espresso is a powerful UI testing framework for Android that enables fast and reliable user interface tests. However, developers often encounter issues such as test flakiness, synchronization problems, view matching failures, and integration challenges. These problems can reduce test reliability and slow down development workflows.

Detox is an end-to-end testing framework for React Native applications that enables automated testing on mobile devices and simulators. However, developers often encounter issues such as test flakiness, emulator connection failures, dependency conflicts, and performance bottlenecks. These issues can impact the reliability and execution of automated tests.

CppUnit is a unit testing framework for C++ that helps developers ensure the correctness of their code through automated tests. However, users often encounter issues such as build failures, segmentation faults, test execution errors, and integration difficulties. These challenges can impact test reliability and debugging efficiency.

Concordion is a powerful Java-based testing framework that integrates specification and testing, allowing executable specifications written in HTML. However, developers often encounter issues such as incorrect test execution, dependency conflicts, reporting errors, and integration challenges. These issues can impact test reliability and maintainability.

Unified Functional Testing (UFT), formerly known as HP QuickTest Professional (QTP), is an automated functional testing tool for web, desktop, and mobile applications. However, users often encounter issues such as object recognition failures, execution performance bottlenecks, test script debugging errors, and integration challenges. These issues can impact test reliability and efficiency.

Unified Functional Testing (UFT), formerly known as HP QuickTest Professional (QTP), is a widely used automated testing framework for functional and regression testing of applications. While UFT provides extensive test automation capabilities, users often encounter challenges such as script failures, object recognition issues, performance bottlenecks, integration problems, and environment misconfigurations. This troubleshooting guide explores common UFT problems and provides solutions for ensuring smooth and efficient test execution.

Puppeteer is a powerful Node.js library that provides a high-level API to control headless Chrome or Chromium browsers. It is widely used in end-to-end testing, automated UI regression checks, and web scraping. However, teams operating at scale often encounter a peculiar yet critical issue: Puppeteer tests timing out intermittently in CI pipelines or production automation flows, despite working reliably on local machines. These intermittent timeouts can block releases, create noise in testing dashboards, and erode confidence in the test automation suite. This article investigates this often-overlooked problem, dissecting its root causes, architectural implications, and robust long-term mitigation strategies for senior developers, QA architects, and DevOps engineers.

LoadRunner, developed by Micro Focus, is one of the most powerful and widely used performance testing tools in enterprise environments. It allows teams to simulate hundreds or thousands of users interacting with an application to measure system behavior under load. Despite its robustness, LoadRunner often presents complex challenges in large-scale setups, especially when diagnosing inaccurate test results or inconsistent system metrics. One such rarely discussed but high-impact issue is “unexpected performance bottlenecks with no apparent server-side saturation.” This scenario can be particularly confusing when backend systems report healthy resource usage, yet LoadRunner identifies latency spikes, failed transactions, or prolonged response times.

Gauge is a lightweight, open-source test automation framework developed by ThoughtWorks, known for its support of readable and maintainable specifications using Markdown. While Gauge simplifies writing executable documentation and supports multiple languages such as Java, C#, and JavaScript, enterprise-level test suites can encounter challenges such as flaky tests, plugin mismatches, IDE integration problems, and CI/CD pipeline compatibility issues. This article presents a comprehensive troubleshooting guide for Gauge aimed at test architects and senior QA engineers working with large-scale systems.

Sahi Pro is an automation and testing framework primarily used for web application testing, offering robust support for complex, dynamic, and enterprise-level web interfaces. Its powerful recorder, dynamic identification engine, and inbuilt test suite management make it a popular choice in enterprises where legacy systems, Java applets, and SAP-based UIs are common. However, as Sahi Pro is adopted for larger test suites, CI/CD integrations, and cross-browser testing at scale, users often face technical challenges that are difficult to debug. These include synchronization issues, dynamic object identification failures, memory leaks, flaky tests, and integration breakdowns with Jenkins or Bamboo. This article dives deep into the architecture of Sahi Pro, identifies common problems, and provides actionable troubleshooting strategies aimed at test architects, QA leads, and automation engineers.