Manual testing is still one of the most important parts of quality assurance, even todays competition of automation. While automation is great for speed and consistency, manual testing adds human complete efforts and adaptability things machines just can’t match.
Below are the most common manual testing that every tester will work on daily basis.
Black Box Testing:
A technique where testers focus on the application’s functionality without looking into the internal code or logic. Where we Provide inputs and validate the outputs while we check the results with expected outcomes.
White Box Testing:
A testing where testers have access to the internal structure, logic, and code of the application. Where we Review the source code and validate the logical conditions and
Exploratory Testing
where the testers explore the application without predefined test cases. Tester explores freely and Try different type combinations of inputs..
Ad-Hoc Testing
It is less structured, Where the testers depends purely on experience. Also there is no documentation.
Usability Testing
Validating how the application is user friendly and feel how the user can experience the application.
Regression Testing
Testing to make sure that new changes don’t break existing functionality.where the tester performs previously executed test cases after code changes are deployed.
Boundary Value Analysis-
In software testing, it’s often the small miss that cause the biggest mistake. That’s where Boundary Value Analysis (BVA) comes in where we need to focus on the Corners of your input ranges, because that’s where bugs will be residing. Boundary Value Analysis is a black-box testing method where we create test cases around the minimum and maximum validation of our inputs. Boundary Value Analysis is simple where most of the bugs show up right at the edges.
Boundaries are risky because where Developers sometimes makes mistakes in small changes Also user enter unexpected values. Systems might treat limits differently due to rounding, type conversions, or storage rules. Testing at these points lets us find more bugs with fewer test cases.
BVA Usage:
When an input field accepts a minimum and maximum value.
When a system validates length limits for text, numbers.
When validating time limited rules or expiry dates.
Types of Boundary Value Analysis
Single Input BVA
Test the boundaries for one variable at a time.
Multiple Input BVA
Apply BVA for each variable when multiple inputs exist.
Robust & Non-Robust BVA
Non-Robust BVA tests only within the valid range.
Robust BVA also tests just outside the valid range.
We get this advantages while we use BVA as high defect detection rate for numeric range based inputs and also reduces the test case execution where it covers broader ,It is easy to understand and apply.
The Future of Manual Testing in the Age of AI –
AI is changing the way we build and test software. From scripts that fix themselves when the UI changes, to AI that can guess where bugs might pop up, it’s natural to wonder.
Over the past few years, AI-powered tools have worked their way into almost every part of testing. Where it comes to Test case generation AI can read requirements and come up with possible test scenarios. Defect prediction ,Machine learning can point out areas in the code that are most likely to fail. Automated scripts can adjust themselves when a UI changes. We can tell AI in plain English what to test, and it’ll just do it.
Role Of Manual Tester-
Testers are now moving from just running test cases to focusing more on analysis. That means less time clicking through the same steps and more time checking AI results and deciding what to do next. Working with AI is becoming normal like a teammate: give it the right info, check its work, and help it get better. But important areas like security, compliance, ethics, and other high-risk tasks will still need people to handle them. To stay ahead, testers are learning new skills like automation basics, AI tools, and data analysis to make themselves more valuable.
Manual Testing in Future-
Manual testing is not dying it’s shaping in to new era. Boring, repetitive tasks will mostly be done by machines, but things like creativity, problem-solving, and understanding people will still be our strengths. The best testers in the future will be a mix of both good at using AI tools, but still trusting their own judgment to make sure software not only works, but is also easy and enjoyable to use.
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