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CHAPTER 11 AUTOMATED INTEGRATION TESTING
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Tip Identify a partial dataset for each integration test, and set it up when the test case is run.
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For example, the following method (part of the Hotel class) calculates the overall cost of staying at a hotel over a number of nights (ignoring complications like different prices for different nights during the stay): public double calculateCostOfStay(int numberOfNights, String discountCode) { double price = getPricePerNight(new Date()); double discount = getDiscount(discountCode); return (price * numberOfNights) - discount; } We could test this method of Hotel with the following JUnit code: @Test public void calculateCostOfStay() throws Exception { Hotel hotel = HotelsDB.find("Hilton", "Dusseldorf"); double cost = hotel.calculateCostOfStay(7, "VRESORTS SUPERSAVER"); assertEquals(1300, cost, 1e-8); } This code attempts to find a hotel from a live connection to the test database, and then calls the method we want to test. There s a pretty big assumption here: that the rooms will cost $200 per night, and that there s an applicable discount code that will produce a $100 discount (resulting in a total cost of stay for seven consecutive nights of $1300). That might have been correct when the test was written; however, you d expect the database to be updated at random times, e.g., the QA team might from time to time re-inject it with a fresh set of data from the production environment, with a totally different set of costs per night, discount codes, and so on. To get around this problem, your integration test s setup code could prepare the test data by actually writing what it needs to the database. In the following example, JUnit s @BeforeClass annotation is used so that this setup code is run once for the whole test case (and not repeatedly for each individual test method): @BeforeClass public static void prepareTestData() throws Exception { Hotel hotel = HotelsDB.findOrCreate("Hilton", "Dusseldorf"); hotel.setPricePerNight(200.00); hotel.addDiscount(100.00, "VRESORTS SUPERSAVER"); hotel.save(); } As long as it s a fair bet that other people won t be updating the test database simultaneously (e.g., run your integration tests overnight), this is an easy, low-impact way of ensuring that the test data is exactly what that precise test needs, updated just-in-time before the test is run. This approach keeps the amount of setup work needed to a minimum, and, in fact, makes the overall task much less daunting than having to keep an entire database in a consistent and repeatable state for the tests.
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Mapplet Example: The Advanced Search Use Case
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We ll run through a quick example using one of the scenarios (or use case threads ) from the Mapplet specifically, the basic course for Advanced Search. Here it is as a quick reminder:
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The system enables the Advanced Search widget when an AOI exists of local size. The user clicks the Advanced Search icon; the system expands the Advanced Search widget and populates Check-in/Check-out fields with defaults. The user specifies their Reservation Detail including Check-in and Check-out dates, number of adults and number of rooms; the system checks that the dates are valid. The user selects additional Hotel Filter criteria including desired amenities, price range, star rating, hotel chain, and the hot rates only check box. The user clicks FIND. The system searches for hotels within the current AOI, and filters the results according to the Hotel Filter Criteria, producing a Hotel Collection. Invoke Display Hotels on Map and Display Hotels on List Widget.
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Tip We were asked whether the first sentence of this use case should be changed to something like The advanced search widget is enabled when an AOI of local size exists. The simple answer is: Nooooooooo. Your use case should always be written in active voice, so that it translates well into an object-oriented design. You can find (lots) more information about the subject of use case narrative style in Use Case Driven Object Modeling with UML: Theory and Practice.
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We want to write an automated scenario test that will step through each step in the use case, manipulating the GUI and validating the results as it goes along. Ultimately we re interested in the endresult displayed on the screen, based on the initial input; but a few additional checks along the way (without going overboard, and as long as they don t cause the test to delve too deeply inside the product code) are worth doing.
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