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There s no getting away from it: concurrency complicates matters It is a challenge when doing test-driven development Unit tests cannot give you as much con dence in system quality because concurrency and synchronization are systemwide concerns When writing tests, you have to worry about getting the synchronization right within the system and between the test and the system Test failures are harder to diagnose because exceptions may be swallowed by background threads or tests may just time out with no clear explanation It s hard to diagnose and correct synchronization problems in existing code, so it s worth thinking about the system s concurrency architecture ahead of time You don t need to design it in great detail, just decide on a broad-brush architecture and principles by which the system will cope with concurrency This design is often prescribed by the frameworks or libraries that an application uses For example: Swing dispatches user events on its own thread If an event handler runs for a long time, the user interface becomes unresponsive because Swing does not process user input while the event handler is running Event callbacks must spawn worker threads to perform long-running tasks, and those worker threads must synchronize with the event dispatch thread to update the user interface A servlet container has a pool of threads that receive HTTP requests and pass them to servlets for processing Many threads can be active in the same servlet instance at once Java EE containers manage all the threading in the application The container guarantees that only one thread will call into a component at a time Components cannot start their own threads The Smack library used by the Auction Sniper application starts a daemon thread to receive XMPP messages It will deliver messages on a single thread,
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but the application must synchronize the Smack thread and the Swing thread to avoid the GUI components being corrupted When you must design a system s concurrency architecture from scratch, you can use modeling tools to prove your design free of certain classes of synchronization errors, such as deadlock, livelock, or starvation Design tools that help you model concurrency are becoming increasingly easy to use The book Concurrency: State Models & Java Programs [Magee06] is an introduction to concurrent programming that stresses a combination of formal modeling and implementation and describes how to do the formal modeling with the LTSA analysis tool Even with a proven design, however, we have to cross the chasm between design and implementation We need to ensure that our components conform to the architectural constraints of the system Testing can help at this point Once we ve designed how the system will manage concurrency, we can test-drive the objects that will t into that architecture Unit tests give us con dence that an object performs its synchronization responsibilities, such as locking its state or blocking and waking threads Coarser-grained tests, such as system tests, give us con dence that the entire system manages concurrency correctly
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Objects that cope with multiple threads mix functional concerns with synchronization concerns, either of which can be the cause of test failures Tests must also synchronize with the background threads, so that they don t make assertions before the threads have nished working or leave threads running that might interfere with later tests Worse, in the presence of threads, unit tests do not usually report failures well Exceptions get thrown on the hidden threads, killing them unexpectedly and breaking the behavior of the tested object If a test times out waiting for background threads to nish, there s often no diagnostic other than a basic timeout message All this makes unit testing dif cult
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