Common manual testing technique
main criteria of manual testing is to check
requirement to meet
check quality
usability to check
impact on end user
standard of products
manual testing is process where humans involved on testing requirement of software with test cases without involvement of testing tools in manual testing testers stimulate software and check if it meets client requirements by testing its functionality as per the standards which needs to be followed
Boundary value analysis
boundary value techniques are used to validate input vales at their bounded limits, BVA technique is used to test inputs and troubleshoot under boundary conditions only
BAV tester needs to check parameter like minimum and maximum acceptable values of each input fields using test cases with following criteria
minimum boundary value
above minimum value
below maximum value
maximum boundary value
above invalid maximum value
below invalid minimum value
the above test cases on each and every input fields will make sure application capability to handle inputs under boundaries
advantages of BVA is tester can identify and fix the bugs which were missed by other validation techniques especially boundary related cases
Decision table testing
Decision table testing is used at an area were multiple validation is needed its a black box with different test cases of various criteria
for example we can take password validation
Decision table for above validations
on above scenario there were predefined conditions for validation below mentioned following advantage of above test conditions
input variables and factors based on conditions
outputs are based on conditions predefined
3.provides all possible possible combinations under conditions
- gives precise and logical results
The future of manual testing on age of AI
The introduction of AI on field of software testing is blending of automation with human expertise however manual testing remines indispensable at some areas which require creativity, empathy and intuition
Both manual tester and AI can go hand on hand with each other as it can save effort and time for tester to use AI for regressive testing data validation and defect tracking
Ai can analyze historical test data and fix bugs and issues which saves efforts and time taken by humans to finish the task
Since Ai is on development stage it still lags on (UX) user experience which require human intervention so hybrid model can be implemented to enhance and improve quality of the software so there is need for humans to learn AI and go hand on hand with technology so can provide more relevant and precise solutions
Conclusion
The future of manual testing will be collaboration of human intelligence with Artificial intelligence where humans and use Ai at very effective way and focus on giving more creative and ethical ideas which could helpful to explore and come with better results
Top comments (0)