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Evans and Kent [5] propose a precise denotational semantics for a core of UML and use this to identify incompleteness in the informal semantics of the UML documents, particularly with regard to inheritance and instantiation. Two speci c omissions from the UML semantics are (1) a constraint enforcing that instances of a classi er should also be indirect instances of the parents of this classi er, and (2) a constraint expressing the fact that instances cannot be instantiated from arbitrary classi ers, only from a direct classi er and its parents. Evans and Kent propose additional OCL constraints to enforce these properties. Incompleteness in the semantics of packages is also addressed. 2.5.2 A UML Semantics FAQ

(5.57)

6 wooden skewers, soaked in water overnight 8 oz (230 g) extra-firm tofu, patted dry, cut into 1-inch (2.5 cm) cubes 1 large red pepper, seeded and cut into large squares 1 large green pepper, seeded and cut into large squares

The minimal cost is given by:

Portions: 16 Portion size: 41 2 oz (140g)

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Clearly, if at a given state s G the set of enabled events becomes empty [i.e., (s) = ], the diagram will remain inde nitely in the same state. To de ne functions and , we proceed by enumerating all possible transition schemes. First, note that if an event e is not active in a con guration G [i.e., either e (G) or (e) G], it will not be executed until by some other event occurrence, e is added to the set of active events. This case is captured by a trivial transition (G, e) = G and ( (G, e)) = (G) When a local action a happens at location l loc(i), the current location of participant i is changed to next(l). Thus, for e = l a where l G, (G, e) = G[next(l)/l]

frames and unmanaged method frames, and we can recognize context transitions (eg, across application domain boundaries), encapsulate calls to Rotor facilities to get metadata references and offsets, and use convenient API to perform jobs on the stack We have managed threads call StackWalkFrames method at, so called, safe points, building upon the other intrinsic Rotor mechanism trapping threads when they know it s safe to suspend This mechanism has been originally used to trigger garbage collection Checks for a suspend request have been inserted by the JIT compiler at back edges and everywhere the next piece of code may take a long time to execute [88] Such checks are also performed by some of the runtime helper functions extensively used in Rotor We utilize this mechanism and add additional check points at the entry of every method.

At that new checkpoints, we test only for the need to take samples We also use the SSCLI core HashMap class to construct the CC-Map in Rotor SSCLI HashMap class implements a hash table used by VM for its internal needs It hashes pointer type values by the pointer type keys (so allows storing pro le objects by the pointer-to-metadata keys); implements locking for insert, delete, and lookup; and takes care of cleaning up itself It is just what we need So, we have chosen HashMap as a hash table to store MethodPro le references at the highest level of CC-Map and as a hash table to hold queues of samples waiting for processing in the global samples store Pro ling results We tested our pro ler on SSCLI 10 To measure overhead and accuracy of pro ling, we used tests from a suite supplied with SSCLI.

Once viruses and antivirus software companies had both appeared, there was an arms race in which each tried to outwit the other As a virus will usually have some means of recognizing itself, so that it does not infect the same file twice, some early antivirus software immunized files, by patching in enough of the virus to fool it into thinking that the file was already infected However, this is not efficient, and won t work at all against a large virus population The next generation were scanners, programs that searched through the early part of each executable file s execution path for a string of bytes known to be from an identified virus.

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