Automation insights and productivity tips from LEAPWORK.
Data is found everywhere. Whether you are testing an application’s functionality with different data parameters or automating the process of moving data from A to B, you have probably realized by now that data is found to be a key component in most automation cases.
There are several methodologies available for implementation in software testing. However, not all require the same effort for test creation and maintenance. If you need to run the same tests, but with different parameter values, then you can do this through data-driven testing (DDT).
Poor data quality puts customer experience at risk. To mitigate that risk, IT-driven enterprises need continuous data cleansing.
IT projects are multidimensional and difficult to perceive. How do you test a project with potentially infinite dimensions?
The Data Builder Pattern is used to automatically create data in the system under test. In this post, I will show how to apply the pattern using LEAPWORK to generate data and increase the value of automated test cases.
Driving automation in LEAPWORK with pre-defined data from an Excel file is easy with the Read Excel block. But sometimes you need more real-time access.
A demonstration of how to iterate through found content with LEAPWORK's Selenium-based web automation capabilities.
The "Read Excel" block in LEAPWORK is a major step forward for data-driven test automation, making it very easy to parameterize and drive automation cases with structured and tabular data.
Dates and timestamps are important in most test automation scenarios. For instance, when testing user sign-up flows, entering a birthday or social security number is often required. Or when validating expiration dates during web content testing, generating a date/time value exactly one week from today might be needed.