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Software Testing life Cycle (STLC) consists of several phases:
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Some common types include:
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A test case is a set of conditions for determining whether an application or system is functioning correctly.
Example:
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A test plan outlines the testing strategy, objectives, resources, schedule, and activities required for testing. It helps ensure that testing is organized and comprehensive.
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Test cases can be prioritized based on:
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Report the bug with detailed steps to reproduce, environment information, and any relevant screenshots. Communicate the issue to the development team and follow up to ensure it gets addressed.
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Exploratory Testing: An informal approach where testers explore the application without predefined test cases, relying on their intuition.
Scripted Testing: Involves following predefined test cases to ensure thorough testing.
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Boundary Value Analysis focuses on testing at the edges of input ranges, as errors are often found at these boundaries. It typically involves testing just below, at, and just above the boundaries.
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Equivalence Partitioning divides input data into groups (partitions) where test cases can be derived. Each group should yield similar results, reducing the total number of test cases while maintaining coverage.
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UAT is the final phase of testing, conducted by actual users to verify that the software meets their requirements and is ready for deployment.
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Include:
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Traceability ensures that all requirements are covered by test cases, helping to identify any gaps and ensuring all features are validated.
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Testing a mobile application involves:
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Smoke Testing is a preliminary test to check the basic functionality of the application. It is performed after receiving a new build to ensure that major features work before further testing.
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Ensure tests are based on requirements, maintain clear documentation, perform regular reviews, and incorporate feedback from stakeholders.
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Tools may include:
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In Agile, QA is involved throughout the development process, participating in sprint planning, daily stand-ups, and reviews to ensure quality is integrated from the start. QA helps define acceptance criteria and conducts testing in iterative cycles.
Automation testing is the use of specialized tools and scripts to perform tests on software applications automatically, without human intervention.
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A test automation framework is a set of guidelines, rules, and best practices used to create and maintain test scripts efficiently.
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Common tools include Selenium, TestNG, JUnit, QTP/UFT, Appium, and Cucumber.
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Selenium is an open-source automation testing tool primarily used for web applications. It supports multiple programming languages and browsers.
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POM is a design pattern that enhances test maintenance and reduces code duplication by representing each page of the application as a class with methods for interacting with UI elements.
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Dynamic web elements can be handled using strategies like XPath with dynamic attributes, CSS selectors, or by waiting for elements to become visible or interactable using explicit waits.
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A test suite is a collection of test cases grouped together to test a specific feature or functionality of an application.
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Regularly review and update test scripts based on application changes, use version control systems, and follow coding standards to enhance readability and maintainability.
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CI is a development practice where developers frequently integrate code changes into a shared repository. Automated tests are run to validate each change, ensuring that new code doesn’t break existing functionality.
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A test runner is a tool that executes the test scripts and provides the results, often integrating with CI/CD pipelines. Examples include JUnit, TestNG, and NUnit.
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Assertions are conditions that must be true for the test to pass. They help verify that the application behaves as expected during testing.
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Use try-catch blocks to handle exceptions, allowing the script to continue running or log errors for analysis without stopping the entire test suite.
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BDD is an agile development practice that encourages collaboration between developers, testers, and business stakeholders. Tests are written in a natural language format (e.g., Gherkin) to describe application behavior.
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Cucumber is a BDD testing tool that allows writing tests in a human-readable format. It integrates with various programming languages and frameworks, facilitating collaboration between technical and non-technical team members.
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Use data-driven testing to separate test data from scripts, allowing for easy updates. Store data in external files (CSV, Excel, or databases) and fetch it during test execution.
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Common reporting tools include Allure, ExtentReports, and built-in reporting features of testing frameworks like TestNG and JUnit.
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Parallel test execution involves running multiple tests simultaneously across different environments or browsers to speed up the testing process and improve efficiency.
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API testing can be done using tools like Postman or REST Assured, focusing on verifying that APIs function as expected, returning correct data and status codes.
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Performance testing evaluates the speed, scalability, and stability of an application under various conditions. Common tools include JMeter, LoadRunner, and Gatling.
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The “wait” function is used to synchronize the test execution with the web application. It helps handle timing issues where elements may not be immediately available for interaction.
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Automated tests can be integrated into CI/CD pipelines using tools like Jenkins, GitLab CI, or Travis CI, enabling tests to run automatically with each code change.
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Code coverage measures the percentage of source code executed during testing, helping identify untested parts of the code and improving overall test effectiveness.