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11: De signing a DSL
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Model generates code In Visual Studio, the model is one le in a project; the project also contains multiple templates that read the model, generating code and other les Templates are transformed before building, and most changes to the code are made by adjusting the model When necessary, some custom code is added Rarely, some change is needed to a template le This is the architecture used by the DSL Tools for authoring DSLs and their designers and associated components This was all discussed in 8, which also provided a sample of how to drive the Text Templating Engine from a command in order to provide more orchestrated generation Model drives external API A command associated with the DSL reads the model and drives a database or other system The model may be entirely transferred into the external system by the operation, or it may update just relevant parts of the system This would be used by the Issue Tracker to update the database from the model, for example The implementation of custom commands was described in 10
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The approach to adding custom commands uses the raw Visual Studio extensibility mechanisms Another possibility is to use the Visual Studio Guidance Automation Toolkit,4 with which it is also possible to attach commands to DSLs as well as other parts of the Visual Studio UI such as particular types of project and project item and have them instantiated along with code les and templates in a project
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Automated tests are a very successful assurance against the introduction of errors as code is extended and refactored Tests typically include Unit tests aimed at individual pieces of code written by the unit s developer, and including mock or stub interfaces to simulate the rest of the system
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Integration, or end-to-end tests, which take the system through scenarios at the user level and are designed to verify that the system requirements have been met Combinatorial tests designed to try signi cant combinations of input values, particularly edge cases, to check correct behavior throughout the space and to check error handling Performance tests that check capacity and response times There are several aspects of a DSL that need to be tested: validation constraints; generator templates; any generated code; menu commands; anything you have customized, such as serialization; and the DSL itself
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Visual Studio Team System provides a good automated test framework that allows a developer to run unit tests on his or her project before checking in changes to the shared repository There are also commandline utilities that build a VS project and run its tests, which can be used in an unmanned nightly or rolling build system (which continually tests the latest repository content) We divide up our development into tasks of a few days each and nd these facilities invaluable for preventing regressions
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Visual Studio s test kit includes a coverage tool, which monitors tests as they run, marking and counting the number of branches executed within the code under test A typical expectation is that a suite of automated tests should achieve coverage of at least 70% 80%5
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For generated code, this expectation applies to the proportion of the generating template that is covered, rather than the generated code Since one template usually generates multiple variants of itself, the reported coverage of the generated code may be much smaller, and you will have to do some analysis to work out what coverage of the generating template that represents
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11: De signing a DSL
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After a test has run within VS, you can right-click and select Code Coverage Results, and get a view of the source code in which the executed branches are highlighted This helps you adjust your tests to make sure most branches are exercised, which gives some assurance that the most common paths (the combinations of branches through the code) have been checked To get a coverage analysis, you rst identify the compiled assembly to the coverage tool, under the Test>Edit Test Run Con gurations menu in Visual Studio
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Validation Constraints Your validation constraints should generate warnings for any invalid combinations of objects, properties, and links In particular, any generators or other tools that process your models should be able to correctly process every model that passes validation A straightforward approach to validation tests is to hand-build one or more test models, with examples of each kind of error, as well as a representative selection of valid elements Validation tests can be automated from within a unit test by creating or loading test models and then calling validation through APIs
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