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If we want to, we can import existing database schemas into the tool, reverse-engineer them, and put them under source control. It is not the entire database we version-control in VSTS; it s the database schema. If we have already deployed a database, we can compare the design-time database with the production database and see whether any modifications have been made to it in the production environment by using a schema-comparison tool. If changes have occurred, we can import these changes so that the design-time database is up-to-date. And the other way around: If the design-time database has changed, we can get the update scripts created so we can bring the production environment up-to-date. When we are finished designing a database, we create a build script, including database object creation scripts and deployment scripts so we can deploy the database into production. If the database exists, we can have the update scripts generated for us. If we have two databases with matching schemas, we can compare the data in the two databases. We can also generate scripts to get the data in the target database to match the source. This can come in handy when retrieving data into a test environment from the production server. We can also get unit testing of our databases in design time. We can generate unit tests for stored procedures or functions, or we can choose to create our own unit tests. This is a feature I know many of my database-specialized coworkers have been waiting for.

If you do not have any job-monitoring tools in place, a job might fail, and you may never know. One way to avoid this is to configure jobs to alert you in the event of a failure. However, sometimes jobs may be created on your server without this failure notification. For example, some third-party applications may add jobs to your server as a part of their installation.

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In most cases, the classes being tested (the targets) require other objects in order to function Imagine a unit test for a piece of business logic; it will probably require data access classes to retrieve and store the data it processes Let s imagine you are testing a discount calculation that applies a discount to an order based on the value of the order and those of previous orders You could use the data access layer that takes the data from the database, but this is rarely a good solution The unit test does not test the business component in isolation; instead it tests the data access components as well as the database Furthermore, the tables in the database must contain suitable data to test all nuances of the discount calculation algorithm This makes the test very fragile: a change in the data may influence the result of the test.

It is better to create stub or mock classes for the target s dependencies In the case of the discount calculation business component, you will probably have to create a mock order data access component Because you are programming a Spring application, this component will most likely be an OrderDao interface It is easy to provide an implementation of OrderDao so that it always returns the correct data for the test, without accessing the database This way, the unit test will be completely isolated and will allow you to run repeated tests without influencing any other components of your application However, implementing stub and mock classes for all of your classes can lead to a lot of repetitive work and is very time consuming That s why you should use some of the available open source libraries for quick and easy ways to define mock objects.

We will use jMock (wwwjmockorg) for the examples in this chapter..

The company wanted to evaluate both Scrum and MSF for Agile, and then compare the experiences of both processes. There were two separate teams for the pilots. One team was seated on the premises (the Scrum pilot) and the other (MSF) had some members on the premises as well as at a remote location. The setup for this was done as in Figure 8-5. The Scrum team consisted of seven team members, and the MSF team had nine.

The terms stub and mock are often used as synonyms in programming literature. However, they are not the same: stubs are usually very simple implementations of the target interface, usually designed to respond only to calls from the test they are designed for, and they are used to create required input for the class under test. Mocks are actual implementation objects, used by a class under test. For more information about stubs and mocks, please see Martin Fowler s blog at http://martinfowler.com/articles/ mocksArentStubs.html#TheDifferenceBetweenMocksAndStubs.

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