We all know testing is a vast domain.
For example when a software is developed, it goes through different phases of testing. The testing phase involves different type of testing like functional to non-functional testing based on the project requirements.
There are two ways for the testers to carry out the testing:
- Executing the test cases manually
- Executing the automated test scenarios using automated testing tools like Selenium Web-Driver.
In the tech-advanced world where the automation testing makes life easier for testers it would be normal to assume that manual testing is out of date. But this is completely untrue. So here comes the article to help you understand why manual testing can't be avoided altogether and remains irreplaceable in many contexts.
Manual testing? Why perform Manual testing?
Manual testing is a type of software testing that involves testers execute test cases step-by-step observing test results firsthand without relying on automated tools/scripts.
While automated testing relies on predefined scripts or tools whereas manual testing offers flexibility and adaptability as human touch is necessary to uncover some issues that automatic tests might overlook.
Key Manual Testing Techniques
1.Boundary Value Analysis (BVA):
Boundary Value Analysis is a testing technique that focuses on boundaries/edges of the input range.
Example:
2. Equivalence Partitioning:
Equivalence partitioning is a software testing technique used to divide input data into sets of equivalent classes, where each class shares similar characteristics and is expected to produce the same output.
Example:
Future of Manual Testing in AI Driven World
We all know that Software industry is witnessing rapid growth in AI powered testing tools, while AI tools are enhancing software testing by automating repetitive tasks and improving efficiency, they are unlikely to fully replace manual testers.
AI excels in areas like generating test cases and identifying potential issues, but manual testers are needed for exploratory testing, user experience evaluation, and tasks requiring human judgement and creativity.
Conclusion
Manual testing supported by testing techniques like Boundary Value Analysis and Equivalence Partitioning continues to be a valuable asset in Quality Assurance. As AI tools evolve the role of manual testers will shift but not disappear.
By collaborating with AI-driven tools and providing valuable insights, manual testers can contribute to the creation of high-quality software products.
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