Domain/Behavorial/Black Box Testing

the set of all input data to the program

a sequence of instructions from entry to exit

means a wrong path is executed for a specific input data

if there exists input data which causes the path to execute

no input data exists to cause the path to execute

specific input data causes the correct path to execute, but the output value is wrong

specific input data causes the program to excute a wrong path

1. Identify inputs, putputs, behaviors environment or whatever factors you are interested in testing

2. group the factors into classes that the system should handle equivalently = equivalent classes

3. create tests where at least ONE option from each class is represented

extension and refinment of the equivalence class partitioning technique

a place where the system’s expected bahvior changes

to select test data near the boundary of a data domain so that data both within and outside an equivalence class are selected

points on the boundary are included in the domain of interest

The points of the boundary do not belong to the domain of interest.

all of its boundaries are closed

some of its boundaries are open

point where two or more boundaries cross

have a boundary inequality in common

• closure error

• shifted boundary error

• tilted boundary error

if a boundary i open when the intention is to have a closed boundary, or vice verse (>= instead of >)

when the implemented boundary is parallel to the intended boundary

x+y>5 instead of x+y>4

the constant coefficients of the variables in a predicate defining a boundary take up wrong values

x+y>5 instead of x+0,5*y >5

an ON point lies in within the domain of interest, OFF point in an adjacent domain

an ON point lies in an adjacent domain, whereas an OFFpoint lies within the domainof interest

every combination of values of any 2 variables (out of 5 variables) is covered in at least one test

many pairs can be tested at the same time in one combination

=(4*3)+(4*3)+(4*4)+(4*2)+(3*3)+(3*4)+(3*2)+(3*4)+(3*2)+(4*2) = 101 Combinations

1. Initialization phase

2. Vertical growth phase

3. Horizontal growth phase

• order variables based on the number of their possible values

• Generate test cases by full combinations of the first two variables

• add other variables one-by-one to generate a combination

• reorder certain variables values if needed

• if re-order cannot generate enough new combinations

• extend horizontally to add possibility of using re-ordering to generate new combinations

1. Precisely identify the domain of each input and each output variable

2. Select values from the data domain of each variable having important properties

3. Consider combinations of special values from different input domains to design test cases

4. Consider input values such that the program under test produces special values from the domain of the output variable