Unix shell scripts give a good example of a domain-specific language for data organization. They can manipulate data in files or user input in many different ways. Domain abstractions and notations include streams (such as stdin and stdout) and operations on streams (such as redirection and pipe). These abstractions combine to make a robust language to talk about the flow and organization of data.
The transformation is determined by the business needs, and the business needs vary wherever you are. Your industry determines the kind of data you deal with, and how it will need to be used. A medical database will need to find details of a patient’s medical records. A retailer may need to track all individual POS sales, both to watch the financial side, and to observe the impact on inventory. A voter registration database may need to give reports of people using various filters for marketing or polling. And each of these systems has different details of what kinds of source data it needs as input and how the output data needs to be queried, all of which need to be checked for data
A growing trend in software development is the use of xUnit testing frameworks JUnit, NUnit, PhpUnit, etc. they allow unit tests executions to test specific code scenarios and sections. It can also help on testing code API with few argument options.
Test cases describe test scenarios that need to be verify to make sure the program runs as expected and according to its requirements. Code Drive Testing, and code driven test automation is a key feature of Agile software development practice.
Code drive testing also know as Test Driven Development (TDD).
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