Handling Irregular Data
When testing an application, you will generally work with a sample set of data. When the application is working properly, it’s always a good idea to run the application against real data. Often, you’ll find that your data contains “quirks” that you haven’t accounted for, causing unexpected results. Also, it is important to test a wide variety of data sets. This increases your chances of encountering irregular data.
As an example, consider an application that performs a SQL query on a backend database and imports the result set into an XML document. The database for this example contains a catalog of freely available XML tools. Each record contains the product name, its author, a description, Web site address, pricing ...
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