rdlc data matrix

rdlc data matrix

rdlc data matrix

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This target has three phases. After creating the URL to the remote timestamp, it uses <waitfor> b to spin until the file is present. This is to give the server time to reload the application. If the file is present, then a <get> task retrieves it and saves it to a local file c. This is followed by a <condition> test to compare the two files, our original timestamp, and this newly downloaded version d. If they are not equal, then the target VERIFYING DEPLOYMENT 461

namespace ConsumeQuotesService { class Program { static void Main(string[] args) { // Get a single random quote // Now add a quote // Now get all the quotes DataSet dataSet = quotesServiceClient.GetAllQuotes(); DataTable tableQuotes = dataSet.Tables[0]; foreach (DataRow dr in tableQuotes.Rows) { System.Console.WriteLine(dr[0] + " " + dr[1] + " " + dr[2]); }

fails the build, with a helpful error message stating the difference between what we expected and what we got. 18.7.3 Testing the timestamp In a normal successful build, the output of the target is something to be ignored:

We chose Spec Explorer because of features such as C#-driven model development, integration with Visual Studio, and support for model slicing (using scenarios) A first model was created by using the example model shipped with Spec Explorer Later the model was expanded by adding new states and transitions as well as additional parameter permutations With Spec Explorer, you can add executable code as implementation of state transitions Our model generated an XML file of test cases that could later be consumed by a traditional test execution engine Applying MBT for service accounts was very successful Tests generated using MBT gave us greater coverage with less testing effort Also, the models were easily expandable It also helped us find interesting design issues very early in the development cycle.

It is only when something has gone wrong that the target contains any message of importance:

8 . . Try calling GetAQuote asynchronously . The proxy created by Visual Studio supports asynchronous invocation if you ask it to generate the asynchronous methods . To call GetAQuote asynchronously, you need to implement a callback method that WCF will call when the method is finished executing . Add a static method named GetAQuoteCallback to your Program class . Have the method return void, and take IAsyncResult as a parameter . When WCF calls back into this method, the IAsyncResult parameter will be an instance of the class originating the call an instance of QuotesServiceClient . Declare an instance of the ServiceReference1.QuotesServiceClient class and assign it by casting the IAsyncResult parameter s AsyncState property to the ServiceReference1.QuotesServiceClient type . Then, declare an instance of the Quote class and harvest the quote by calling QuotesServiceClient.EndGetAQuote, passing the AsyncResult parameter . Finally, write the quote out to the console .

verify-uptodate: [get] Getting: http://eiger:8080/antbook/timestamp.txt BUILD FAILED C:\AntBook\app\webapp\newdeploy.xml:273: file match failed; expected [build.timestamp=2002-04-26T00:42:42] found [build.timestamp=2002-05-26T00:42:42]

using using using using using System; System.Collections.Generic; System.Linq; System.Text; System.Data;

One important lesson we learned is that, as a good modeling practice, we should start by modeling the most basic functionality and incrementally expand on it; this makes correction of modeling errors much easier Following are some of the perspectives we gained by applying MBT versus traditional test design: MBT gives a different point of view on design of a feature Tests are generated automatically with assurance of full coverage of the model in least steps Extending the model is easy and takes advantage of previously generated tests To me, using MBT was fun and a great learning experience It was easy to understand the model and gave me confidence about the extent of my test coverage Interesting bugs were also found including design bugs, input validation bugs, and scenario bugs I'll definitely use MBT for my next feature Sasha Hanganu, SDET, Windows Security.

That is all there is to it. Some new properties, two new targets, and some other minor changes to the build file have self-validated your deployment process: Ant verifies that the deployment went through, then the HttpUnit, Cactus, or Canoo tests verify that the program actually works. Together, they ensure that the production service is ready to go live.

namespace ConsumeQuotesService { class Program { static void Main(string[] args) { // Get a single random quote // Now add a quote } // Now get all the quotes