Data Driven Test with JMeter | Logic Controller

#datadriven #test #selenium

Data-driven testing is an approach to software testing where test cases are designed based on data sets or inputs. Instead of creating individual test cases manually, data-driven testing allows testers to define a set of test data, along with the expected outcomes, and automate the testing process using this data.

In data-driven testing, the test cases are separated from the test logic or script. Test data is stored in external files, such as spreadsheets or databases, and the test script reads this data and executes the test cases accordingly. The test script usually contains loops or iterations to process multiple sets of data, allowing for extensive test coverage.

The main advantages of data-driven testing include:

- Increased test coverage: By using a variety of test data, data-driven testing helps cover different scenarios, edge cases, and combinations of inputs that can uncover bugs and vulnerabilities in the software.

- Reusability: Test scripts can be designed to be reusable, as they can work with different sets of test data. This reduces maintenance efforts and allows for efficient testing of multiple scenarios.

- Scalability: With data-driven testing, it is easier to scale and expand test suites as more test data can be added without modifying the underlying test logic. This makes it suitable for large and complex software systems.

- Separation of concerns: Data-driven testing separates test data from test scripts, making it easier to update or modify test cases without impacting the underlying test logic. It also promotes collaboration between testers and domain experts who can provide and validate test data.

Improved efficiency: By automating the testing process using data-driven techniques, repetitive tasks can be automated, saving time and effort for testers. It allows for faster execution of test cases and quicker identification of defects.

#datadriven #automation #datadriventesting