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Question 218 - CTFL-2018 discussion

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Which type of automation test design is used in the example below?

An automation team designs an automation framework for testing of their web-based applications. Realizing that they need to use different data for different test cycles, they decide not to hard-code any data

in their scripts Instead they read all the data from text files while test execution is in progress.

A.
Dynamic test design
Answers
A.
Dynamic test design
B.
Data-driven
Answers
B.
Data-driven
C.
Keyword-driven
Answers
C.
Keyword-driven
D.
Data coverage analysis
Answers
D.
Data coverage analysis
Suggested answer: B

Explanation:

Data-driven is the type of automation test design that is used in the example below. Data-driven testing is a technique to separate the test data from the test scripts and store them in external sources, such as text files, databases, spreadsheets, etc.Data-driven testing allows the test scripts to read the test data from these sources during test execution, which makes the test scripts more reusable and maintainable1explains data-driven testing as follows:

Data-driven testing is a software testing methodology that is used in the automation testing framework to store the test data in a table or spreadsheet format. This allows automation engineers to have a single test script that can execute tests for all the test data in the table.

Data-driven testing helps to increase the efficiency of automated testing by reducing the number of test scripts required for different scenarios. It also helps to improve the quality of testing by covering more variations of input data and expected results.

A, C, and D are incorrect answers. Dynamic test design, keyword-driven, and data coverage analysis are not types of automation test design that are used in the example below. Dynamic test design is a technique to generate test cases based on dynamic analysis of the system behavior or output during test execution. Keyword-driven testing is a technique to create test scripts using keywords that represent actions or commands that can be executed by an automation tool. Data coverage analysis is a technique to measure and evaluate how much of the input domain or data set has been covered by the test cases.

asked 18/09/2024
Johnny Tien
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