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Once a set of probabilities has been elicited, it is important to check for internal consistency, which statisticians sometimes call coherence. Coherence means that the numerical probabilities obtained are consistent with probability theory. This can be done, rst, by making sure that simple things, such as the probabilities of mutually exclusive and collectively exhaustive events adding up to 1.0, are con rmed. Secondly, it is also good practice to reword or restructure questions in logically equivalent ways to see if the resulting answers change. Also, redundant questions can be asked about events or parameters whose probabilities could be calculated from previous answers. Inconsistencies are resolved by discussion and reconsideration. Beyond coherence, the implications of the elicited probabilities for risk estimates and for the ordering of one set of risks against other sets is also useful feedback to the experts. Sometimes, seeing unexpected or unanticipated implications of a set of assessments causes experts to re ect again upon the answers that have been given and the probabilities that have been elicited.

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public virtual void a() { d d = a; d.a(); d = d.b; while (d == null) { return; } }

Spices.Net is completely confused by the unusual control flow constructs of this routine and generates incorrect code. It fails to properly identify the loop s body and actually places the return statement inside the loop, even though it is executed after the loop. The d.a(); and d = d.b; statements are placed before the loop even though they are essentially the loop s body. Finally, the loop s condition is reversed: The loop is supposed to keep running while d is not null, not the other way around. Different decompilers employ different control flow analysis algorithms, and they generally react differently to these types of control flow obfuscations.

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Documentation is an essential part of an exercise in expert elicitation. In the rst place, a great deal of time and money has been invested in the elicitation, and the sponsoring organization needs to know what it has obtained. Perhaps more important is the fact that many expert elicitations take place in a contentious regulatory or political environment.

A consistent approach tends to win regattas, so it may well be wise to choose to play the percentages and follow your strategy 70%, but not go the whole hog, in case you are mistaken. An all or nothing approach may win a race or even an open, but will rarely, if ever, win a championship. Sailing is a sport where the race is not over until it is over. Until you cross the nish line you are never sure of your position (and even then it can change as a result of protest!). Watch the eet and

Let s feed the same DotFuscated code from Listing 12.7 into another decompiler, Decompiler.Net and see how it reacts to the DotFuscator s control flow obfuscation.

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Documentation consists of records of everything that was done, from the earliest expert training to the nal report. Much of this material can be saved in les that are accessible to interested parties, but it is important that the reports describe the process and the rationale behind major decisions so that they can be reviewed without searching the les. Budnitz et al. (1998) give a detailed description of documentation for expert elicitation for seismic hazard analyses for nuclear power plants.

public void a () { for (d theD = this.a; (theD != null); theD = theD.b) { theD.a (); } }

Elicitation of subjective probabilities is best conducted with the assistance of probability analysts or facilitators versed in probability and decision theory, behavioral effects, and ideally geotechnical engineering as well Their job is principally one of ensuring external validity and promoting internal consistency of the probabilities produced, much of which involves a process of prompting and querying the assessor For example, probabilities of 04 and 08 for the presence of either soil or rock at a particular location in the ground would fail the requirements of external validity Further questioning of the underlying reasoning would be necessary either to reconcile the discrepancy, or to reveal hidden assumptions (perhaps a perceived potential for residual weathering products at the soil/rock interface) which could then be made explicit by restructuring the problem with a revised set of possible outcomes.

No problems here DecompilerNet does a good job and the obfuscated control flow structure of this routine seems to have no impact on its output The fact is that control flow obfuscations have a certain cat-and-mouse nature to them where decompiler writers can always go back and add special heuristics that can properly deal with the various distorted control flow structures encountered in obfuscated methods It is important to keep this in mind and to not overestimate the impact these techniques have on the overall readability of the program It is almost always going to be possible to correctly decompile control flow obfuscated code after all the code always has to retain its original meaning in order for the program to execute properly If you go back to the subject of symbol renaming, notice how confusing this simple alphabetical symbol naming scheme can be.

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