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We prefer to put our test classes directly into the packages containing the target classes, which eliminates the need for those extra import statements But wait, you say Now, how do you separate your test code from your target code, especially for deployment or distribution purposes Easy We simply put all test code into a completely separate directory structure under the top-level project directory in the source code control system (refer to Table 71) Then our Ant build files can control which directory structures are copied from place to place, put in archive files, and so on This approach gives us the best of both worlds It has never been necessary in our experience to deploy our unit test suites into any container or server; rather, the test code always acts as client code to the actual application code that gets deployed.

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Therefore the test code doesn t need to be packaged into archive files for deployment along with the application code When it comes to distribution, if you need to distribute your test code to your consumers, you are certainly free to do so however you wish..

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resources that would be cloud-enabled, provided and consumed via a Cloud Ecosystem Model As illustrated, each of the four Cloud Enablement tiers is populated with various representative categories of technology and capabilities that are either provided via cloud in that tier, or contribute to the cloud enablement of capabilities provided by or accessed from that particular tier The illustrated population of the Cloud Enablement tiers with various technology capabilities is not exhaustive or necessarily complete It is not meant to be Instead, we are building a representative framework that can be used to map and relate cloud-enabled and cloud-enablement resources into the tiers, and into patterns based on use cases, to simplify the concepts around cloud modeling and architecture.

such as the specific convention for the identification of the individual and groups participating in the exchange, or the specific business rules allowing access to certain groups and denying it for others . A given system will raise various errors or exceptions . When these are encountered, the receiving system must know what to do . Normally these errors can be technical (for example, the message did not technically succeed, due to a network failure) or functional (for example, a given order was not issued because the item is out of stock and in back-order) . The simple fact of sharing a technical means for communicating errors does not imply that a given error has the same meaning in the two systems and can be appropriately dealt with when encountered . Over time, industryspecific standards will evolve so that two systems will, for example, share a given standard application format for errors, and not only a technical format. In this case, a specific error code will mean exactly the same thing in both collaborating systems ; for example, error "1002" could mean that a given customer order number did not exist . This can be considered an example of an application infrastructure protocol .

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