Answer / prasannatl

Teting multiple data with same script.

Answer / ksi

you can generate multiple test scenarios using the same
test.

For example, suppose you wants to create an account in
yahoo for 100 or 1000 people. Like this cases we can put
all the user information a excel file and use a single
script.

You can create a data table by inserting values in a table
or by importing data from an external file.

Answer / srikanth.m

driving a single test with multiple data.

Answer / vipin

The simplest explanation of DDT is this: data that is
external to your functional test scripts is loaded and used
to extend your test cases. One of the best examples is that
of a customer order form. If you wished to populate the
entry fields with multiple test cases without DDT, you
would either need to record multiple test scripts (one for
each different test case) or employ DDT. To use DDT in this
scenario, you might record a single script, entering values
into the various fields. Then, you could alter the script
to accept variables, entering those variables into the data
fields. Now you can call this script each time you want to
add an order record, passing in a new set of data each
time.

Answer / venkat

data driven testing is nothing but testing the single field
with multiple sets of data.

the main intension of this testing is to find the behaviour
of the application for different input values.

Answer / knahdam

involves data pool concepts invariably used as data driven
testing in some tools.

supplying multiple data's to the same script to check a
desired action

Answer / rohit

Data-driven testing is a methodology used in Test
automation where test scripts are executed and verified
based on the data values stored in one or more central data
sources or databases. These databases can range from
datapools, ODBC sources, csv files, Excel files, DAO
objects, ADO objects, etc. Data-driven testing is the
establishment of several interacting test scripts together
with their related data results in a framework used for the
methodology. In this framework, variables are used for both
input values and output verification values: navigation
through the program, reading of the data sources, and
logging of test status and information are all coded in the
test script. Thus, the logic executed in the script is also
dependent on the data values.

Answer / vipin misra

The simplest explanation of DDT is this: data that is
external to your functional test scripts is loaded and used
to extend your test cases. One of the best examples is that
of a customer order form. If you wished to populate the
entry fields with multiple test cases without DDT, you
would either need to record multiple test scripts (one for
each different test case) or employ DDT. To use DDT in this
scenario, you might record a single script, entering values
into the various fields. Then, you could alter the script
to accept variables, entering those variables into the data
fields. Now you can call this script each time you want to
add an order record, passing in a new set of data each
time.

Answer / vipin

The simplest explanation of DDT is this: data that is
external to your functional test scripts is loaded and used
to extend your test cases. One of the best examples is that
of a customer order form. If you wished to populate the
entry fields with multiple test cases without DDT, you
would either need to record multiple test scripts (one for
each different test case) or employ DDT. To use DDT in this
scenario, you might record a single script, entering values
into the various fields. Then, you could alter the script
to accept variables, entering those variables into the data
fields. Now you can call this script each time you want to
add an order record, passing in a new set of data each
time.

Answer / sushmita

Iterating a script with multiple test data is known as DDT..

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