What is the difference between manual and automated testing?
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Manual and automated testing are two primary approaches used in software quality assurance, each with distinct differences in terms of execution, efficiency, and use cases.
Manual Testing involves human testers executing test cases without the help of scripts or automation tools. In this approach, testers simulate user interactions with the software, such as clicking buttons, entering data, or navigating through interfaces, to verify if the application behaves as expected. Manual testing is particularly useful for exploratory testing, user interface testing, and cases where human judgment is required to assess the experience or behavior of the application.
Automated Testing, on the other hand, uses specialized software tools and scripts to automatically execute predefined test cases. The scripts simulate user actions, compare actual outcomes with expected results, and report discrepancies. This approach is ideal for repetitive testing tasks, such as regression testing, performance testing, and testing large volumes of data. Automated tests are faster and more consistent, especially when performing tests across multiple platforms or devices.
Key Differences:
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Speed and Efficiency: Automated testing is faster and more efficient for repetitive tasks, while manual testing is slower due to human intervention.
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Cost: Manual testing can be more costly in the long term, as it requires continuous human resources. Automated testing has a higher initial setup cost but can be more cost-effective over time for repeated tests.
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Flexibility: Manual testing offers greater flexibility for complex or one-time scenarios, while automated testing excels in running large, repetitive test cases.
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Accuracy: Automated tests are less prone to human error and can execute tests consistently. Manual testing is more susceptible to mistakes, especially in repetitive tasks.
Ultimately, both methods complement each other, with manual testing used for more dynamic or exploratory scenarios, and automated testing for faster, repetitive, and scalable verification of software functionality.
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