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The model interpreter then generates code skeletons for each abstract task in the application, if desired by the programmer If a new ATaG behavior is being developed and the associated code is therefore to be written, the developer can create a dummy application by (a) including only the ATaG behavior being created and (b) choosing to generate code skeletons for the abstract tasks and data items The code synthesizer analyzes (i) the YO dependencies between abstract tasks and data and (ii) the firing rules for the abstract task, and it generates a generic code skeleton as shown in Figure 49 The programmer can then add application-specificcode to the body of the Java class, define static variables to store state information across invocations, etc The remainder of the software synthesis consists of customizing the constructor of the AtagManager (see Figure 3. . 14) and generating configuration files that provide the basic startup information to each DART process when it is launched as part of the simulation The details of simulation are discussed in Section Related: . Without a doubt, resource leaks are one of the main sources of problems that can lead to software instability One small resource leak is all it takes for large corporations to have to restart critical applications and services (and in worst-case scenarios, the entire system) and in the process lose thousands, or sometimes hundreds of thousands, of dollars Software houses cannot afford to ignore issues such as memory leaks Serious time and effort has to be scheduled to deal with these problems when they surface during testing Admittedly, some resource leaks are harder to track down than others, but no questions should be asked concerning whether they should be fixed Armed with the right thought process, coupled with a set of invaluable tools, a developer can track own these types of problems fairly quickly This chapter discusses these thought patterns and tools that enable developers to efficiently track down resource leaks. 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