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There are numerous advantages to writing automated tests, but it is easy to make mistakes. Microsoft test developers have coding skills equal to their development peers, but there is one big difference between test code and product code: Product code is tested. To be fair, you could say that repeated test runs and constant feedback in the form of test results imply that the product tests the tests. Nevertheless, the goal of nearly every Microsoft team is for test code to have the same quality goals as production code does. Watch out for these common errors when writing test code: Hard-coded paths Tests often need external files during test execution. The quickest and simplest method to point the test to a network share or other location is to embed the path in the source file. Unfortunately, paths can change and servers can be reconfigured or retired. It is a much better practice to store information about support files in the TCM or automation database. Complexity The complexity issues discussed in 7, "Code Complexity," are just as prevalent in test code as they are in production code. The goal for test code must be to write the simplest code possible to test the feature sufficiently. Difficult debugging When a failure occurs, debugging should be a quick and painless procedure not a multihour time investment for the tester. Insufficient logging is a key contributor to making debugging difficult. When a test fails, it is a good practice to log why the test failed. "Streaming test failed: buffer size expected 2048, actual size 1024" is a much better result than "Streaming test failed: bad buffer size" or simply "Streaming test failed." With good logging information, failures can be reported and fixed without ever needing to touch a debugger.

52. Fail builds when tests fail. By default, the <junit> task does not halt a build when failures occur. If no reporting is desired, enable haltonfailure and haltonerror. However, reporting of test cases is often desired. To accomplish reporting of test failures and failing the build together, borrow this example:

21 . . Type a first name, and then press the Enter key . This invokes the client-side JavaScript validation script . Watch what happens . The ASP .NET validator controls have inserted some JavaScript into the HTML sent to the browser (if the browser understands JavaScript, which the majority today do) . With the client-side script in place, required field validators can manage their error messages without a round-trip to the server, as shown in the following graphic:

<junit printsummary="no" errorProperty="test.failed" failureProperty="test.failed" fork="${junit.fork}"> <!-- ... --> </junit> <junitreport todir="${test.data.dir}"> <fileset dir="${test.data.dir}"> <include name="TEST-*.xml"/> </fileset> <report format="frames" todir="${test.reports.dir}"/> </junitreport> <fail if="test.failed"> Unit tests failed. Check log or reports for details </fail>

False positives A tester investigates a failure and discovers that the product code is fine, but a bug in her test caused the test to report a failure result. The opposite of this, a false negative, is much worse a test incorrectly reports a passing result. When analyzing test results, testers examine failures, not passing tests. Unless a test with a false negative repeats in another test or is caught by an internal user during normal usage, the consequences of false negatives are bugs in the hands of the consumer. Writing automation is a difficult enough task, but writing quality automation is an arduous undertaking. Despite the goals of the test teams, not all test code written at Microsoft is production quality at least not yet. For some of the reasons mentioned earlier, as well as other related issues, false positives are more common than most teams would prefer. In 12, "Other Tools," among other things, we discuss some of the tools testers use to avoid some of the pitfalls mentioned and to write high-quality tests.

ASP .NET page validation is very clever and it s all based on the page server-side control architecture . As with many other features in ASP .NET, the validation mechanism solves the most common use cases you encounter during Web site development . Most sites include both client-side and server-side validation . By supporting client-side validation, users are spared a round-trip when validating data input to the page . In addition to client-side validation, most sites also support server-side validation for two reasons: to make sure no data is garbled or modified during transmission and to support clients unable to support client-side scripting (perhaps the client browser doesn t support JavaScript) . First, consider client-side validation .

When tests fail, the property test.failed is set, yet processing continues. The conditional <fail> stops the build after Ant has generated the reports. 53. Code test cases that need data to adapt. Place test data files alongside test cases, copy the files to the test classpath during the build, and access them using Class.getResource. Read test configuration information from system properties, and set them from Ant. Both of these techniques are illustrated in this example.

<copy todir="${test.classes.dir}"> <fileset dir="${test.src.dir}" excludes="**/*.java"/> </copy> <junit printsummary="no" errorProperty="test.failed" failureProperty="test.failed" fork="${junit.fork}"> <classpath refid="test.classpath"/> <sysproperty key="docs.dir" value="${test.classes.dir}"/> <!-- ... --> </junit>