Difference between Keyword Driven and Data Driven Framework

Keyword-Driven Testing is a method of expressing test cases using a predetermined set of Keywords, according to ISO/IEC/IEEE 29119-5. These Keywords are names connected with a collection of activities necessary to complete a given stage in a test case. The testing process can be easier to comprehend, maintain, and automate if they use words to express test procedures rather than real language. The legal test creation method is divided into two parts using keyword-driven driven testing: The first step is the Development and Design stage, followed by the Implementation stage.
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• Implementation stage: Depending on the scenario, the final implementation can be manual, computerized, or a mix of the two. These orders are carried out in the precise order defined in the n first stage.
• The first stage is the design and development of the collection of actions that will designate each phrase. This implies that all of the activities that must be performed under a particular keyword are recognized and written out progressively.

Keyword-driven testing (also defined as podium testing or activity keyword-based testing) may be used for human as well as test automation. The test designer does not need to know how to program or have any understanding of the test tool while utilizing this method. Essentially, this approach gives a full collection of Keywords for use in creating test cases. Every keyword in keyword-driven testing represents a testing action, such as keystrokes, mouse clicks, etc. A keyword represents a code and is defined as a collection of activities that must be performed on a test object. A keyword-driven test is made up of low- and high-level keywords, as well as keyword arguments, that are used to define the activity of a test case.
Pros:

• A single keyword can be utilized in several test scripts.
• In addition to the benefits of Data Driven Testing, the Keyword Driven Framework does not require the user to have scripting expertise, like Data Driven Testing requires.

Table of Content:
1) What is Data-Driven Testing?
2) What Is the Distinction Between a Data-Driven and a Keyword-Driven Framework?
 
What is Data-Driven Testing?
DDT is also known as parametric testing. DDT is a software testing technique that uses circumstances such as validated inputs to test computer software. Various ways are utilized to test the program, and each technique differentiates from the other in order to preserve accuracy. DDT concentrates on a group of data found in a database for an operational infrastructure where testing is performed. Essentially, this approach resolves large and time-consuming process concerns associated with completing individual tests. For a better understanding of DDT, consider the following example: DDT is akin to looking for a specific student detail in a large dataset. On that, we only need to enter the student Id, and then we can access all of the information about that student. Similarly, while running this test in a large dataset, we only need to provide the verified details to get the right execution.
Data-Driven Testing uses data in a variety of formats, including Comma Separated Values (CSV) files, Spread Sheets, Tables, Script Arrays, and Table Variables.
 
Pros:

• DDT keeps all records extremely effectively and easily accessible.
• It provides a detailed environment again for test scripts.
• It reduces the likelihood of a mistake occurring.

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What Is the Distinction Between a Data-Driven and a Keyword-Driven Framework?
 
The team's requirement for programming skills:
Because both frameworks need programming skills in the group, the keyword-driven framework can benefit from the non-programming experience. Manual testers with complete AC in programming knowledge and familiarity with the product, for example. It enables everyone on the team to participate in the development of the product's automated testing system. A data-driven structure, on the other hand, does not allow for such adaptability. We require programming expertise on the team that can develop test scripts in a programming language in order to build an automation testing system based on a data-driven architecture. Non-programming product specialists have little opportunity to design the software testing system for the technology they are working on.
 
Forethought: Keyword-driven frameworks require more planning than data-driven frameworks. You simply need to arrange as to what test development and test scripts are required with data-driven frameworks.
Keyword-driven frameworks need planning for phrases and their implementations, as well as test data and test scripts.
 
Management:
If test automation systems are not correctly conceived, they will be far more difficult to manage than data-driven frameworks.
 
Following that, test scripts must be developed:
When the product design is not complete, it is easier to build test scripts utilizing the keyword-driven framework. Only the use of keywords is dependent on the actual research and development. The real product, on the other extreme, is essential for writing test scripts utilizing a data-driven architecture.
 
Conclusion:
Different sorts of testing frameworks may be appropriate for various types of goods and teams. Before completing any framework for constructing our item's test automation system, we must assess our demands from a framework as well as our team's skills in engaging with the framework. This was about the distinction here between data-driven architecture and a meta descriptions framework. Stay tuned for more great technophile articles.
  According to ISO/IEC/IEEE 29119-5, Keyword-Driven Testing is a way of describing test cases using a specified set of Keywords. These Tags are names associated with a set of actions required to accomplish a specific stage in a test case. When test processes are expressed in words rather than real language, the system testing can be easier to understand, manage, and automate.