** COMMON MANUAL TESTING TECHNIQUES**:
Manual testing is the process of testing a software application without using any automation tools. Like a human tests the software step-by-step to find bugs.
They have some techniques they are :
1. Black box technique,
2. White box technique,
3. Grey box technique.
In black box technique they focuses only on inputs and outputs like;
(a) Boundary value analysis BVA
(B) Equivalence partitioning
(c) Decision table testing
** BOUNDARY VALUE ANALYSIS**:
This analysis used when inputs have ranges, limits and thresholds. For use some boundaries which is following given below;
1. Lower boundary,
2. Upper boundary,
3. Just below the lower boundary,
4. Just below the upper boundary.
(FOR EXAMPLE 1):
TEXT BOX ACCEPTS 1 TO 10
VALUE RESULT
0 Fail
1 Pass
2 Pass
9 Pass
10 Pass
11 Fail
( FOR EXAMPLE 2):
ATM WITHDRAWL 500 TO 10,000
VALUE RESULT
499 Fail
500 Pass
501 Pass
9999 Pass
10,000 Pass
10,001 Fail.
( FOR EXAMPLE 3) :
Password create must be 6 to 12 characters
VALUE RESULT
5 Fail
6 Pass
7 Pass
11 Pass
12 Pass
13 Fail . These are the examples foe boundary value analysis .
DECISION TABLE TESTING:
The decision table testing is comes under the black box testing . The output depends on multiple conditions.
Conditions, and
Possible combination.
( FOR EXAMPLE 1): LOAN APPROVAL
CONDITION:
Salary : 30,000
CIBIL : 700
SALARY CIBIL RESULT
Yes yes approved
yes no rejected
no yes rejected
no no rejected
( FOR EXAMPLE 2) : PASSWORD LOGIN
CONDITION : 1. Password correct
2. User is not blocked
PASSWORD CORRECT USER BLOCKED LOGIN
NO no fail
no yes fail
yes no login
yes yes fail
(FOR EXAMPLE 3) : ATM WITHDRAWEL
COMDITIONS : 1. Sufficient balance
2. Correct pin
SUFFICIENT BALANCE CORRECT PIN WITHDRAW
yes yes valid
yes no invalid
no yes invalid
no no invalid
THE FUTURE OF MANUAL TESTING IN THE AGE OF AI:
The world full of software testing is rapidly changing driven by the rise of AI and automation. The future isn't a battle between humans and machines. Manual testers are adapting the changes, combining their unique human insights with the power of AI.
# HOW AI MANUAL TESTING CHANGES:
1. HUMAN IDEAS AND IMPORTANCES,
2. AI ASSISTED TESTING,
3. AI ASSISTED SPECIALIST.
HUMAN IDEAS AND IMPORTANCES:
Human can feel AI functionality things that use user experience, intution and creativity.AI ASSISTED TESTING:
AI assisted test case helps to create, changes and error guessing.AI ASSISTED SPECIALIST:
It gives some job vacancy like UI and UX testing consultant. It will helps for some freshers who searching for a jobs or else it helps to identify the answers related to their questions.
HOW THE TESTER OF THE FUTURE SHOULD BE:
1. CONTINUOUS LEARNING
2. COLLABROTION WITH AI
3. NEW ROLES
CONTINUOUS LEARNING :
It is essential to learn automation and AI tools testers who uses AI will be ahead compared to those who don't.COLLABORATION WITH AI :
Testers will engage in tasks like creating test cases and designing test plan using AI and this will save time.NEW ROLES:
New roles such as AI-assisted testing specialist and UI testing consultant will emerge.
SUMMARY:
Manual testing will not disappear ;instead it will evolve by intergrating with AI, expanding the tester's skills and moving to the next level in their future.
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