Imagine working on a long-term project where you find yourself repeatedly conducting regression testing in every sprint and performing smoke testing for the same test cases with each change. Consider the amount of time and effort invested in these repetitive tasks, leading to monotony and inefficiency.
Repetitive manual testing can be tedious and may result in testers overlooking certain scenarios in regression and smoke testing. To address these issues, automation can serve as an effective alternative solution.
Automation encompasses more than just writing code; it can involve tasks such as sending bulk data simultaneously and collecting multiple responses. For instance, automating the process of sending a hundred JSON data entries via a .CSV file through tools like Postman qualifies as automation as well.
To execute frequent test cases efficiently, you can maintain automation code using tools like Selenium or Cypress, along with your preferred programming language. The objective is to automate the testing process, where you simply trigger the action and let the machine handle testing across all scenarios, providing comprehensive reports afterward. For instance, running 1000 test cases manually might require 10 employees an entire day, whereas automation could complete the task in just 20 to 30 minutes.This is why many companies nowadays prioritize automation. However, there are limitations to automation, particularly when it comes to testing aspects dependent on system architecture. Nevertheless, automation significantly saves time and provides accurate reports, making it a valuable asset in software testing.
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