Hello everyone! You may have seen our most recent summer release blog showing off the latest and greatest features for the Pragmatic Works software tools. In that release, we announced that users can now create annotations for their tests in LegiTest. With this new feature, users can create a category or name and include whatever information they would like. This information will then be made visible in LegiTest Server. To get you familiar with how this function works, we've created a short demonstration:
Category: Data Testing6 Results
As the COO of a company, Tim understands the important role data plays in a business's success. Whether it's annual reports, forecasting sales or making important decisions for the business's future, Tim relies on data - data he knows is accurate because it's been tested and validated.
Pragmatic Works helps customers all over the world with their data-centric challenges. If it involves data, we’ve pretty much done it. One challenge our customers continue to see, and we experience ourselves, is the random and unexpected bad result. These are results that cause our business users and customers to question the validity of the reports we produce for them. Even with Master Data Management, Data Cleansing and products like DQS, companies continue to wrestle with bad data. But why?
I’ve been a big advocate of testing for applications, databases, data warehouses, BI and analytics for a while now. Not just any testing, but real tests that help you truly verify the state of your code, applications and data. I like Test Driven Development, but really any approach that focuses on automated, repeatable tests that verify meaningful functionality I find hugely beneficial. And almost no one I’ve ever talked to about this topic has disagreed with me. (There was that one guy, but he was a FoxPro developer, so...) But there’s often a point where the conversation goes sideways. Usually, it starts something like this:
Testing has long been a core component of traditional software development. Over the years many tools and testing frameworks have emerged to assist developers in testing their applications to ensure a higher quality product.
Sadly, those tools have been lacking in the world of data centric development. There are some tools to assist with testing some aspects of data centric development, but a huge need has gone unfilled for a single tool to perform comprehensive testing across all areas of data centric development.
Pragmatic Works has answered the call for a comprehensive testing tool with its newest product: LegiTest.
Testing has long been accepted in the software development world as the key to quality. Testing ensures code behaves as designed, delivers the expected results even after subsequent changes to the original code base occur and that code changes from one developer do not adversely affect the existing code base. Done correctly, it also verifies that the code handles an appropriate range of input data and manages exceptions and invalid data correctly.