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Metrics for Tactical Focus Many simple metrics can be derived from static analysis results Here we look at the following: Measuring vulnerability density Comparing projects by severity Breaking down results by category Monitoring trends

Performance Counters Three sets of WCF-related performance counters are installed with the NET Framework 30 In Performance Monitor, you can see these counters under ServiceModelService, ServiceModelEndpoint, and ServiceModelOperation You can choose to enable these for your application via con guration, shown in Listing 97



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Measuring Vulnerability Density We ve already thrown vulnerability density under the bus, so what more is there to talk about Dividing the number of static analysis results by the number of lines of code is an awful way to measure risk, but it s a good way to measure the amount of work required to do a complete review Comparing vulnerability density across different modules or different projects helps formulate review priorities Track issue density over time to gain insight into whether tool output is being taken into consideration Comparing Projects by Severity Static analysis results can be applied for project comparison purposes Figure 33 shows a comparison between two modules, with the source code analysis results grouped by severity The graph suggests a plan of action: Check out the critical issues for the rst module, and then move on to the high-severity issues for the second Comparing projects side by side can help people understand how much work they have in front of them and how they compare to their peers When you present project comparisons, name names Point fingers Sometimes programmers need a little help accepting responsibility for their code Help them





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Breaking Down Results by Category Figure 34 presents results for a single project grouped by category The pie chart gives a rough idea about the amount of remediation effort required to address each type of issue It also suggests that log forging and cross-site scripting are good topics for an upcoming training class

This case shouldn't arise, for a similar reason to the above: JDK 11 can't generate a 12 style stub If you are not deploying servers or clients with JDK 11, you should use the v12 parameter to rmic, which does not generate skeleton classes one less thing to install at the server 772 Installation and distribution Stub class files are required by both clients and servers You can use RMI code mobility, discussed in 9, to make stub files available to clients; otherwise you must ensure that stub files are distributed with the client parts of your application Server implementation class files and skeleton files are normally not required by clients at all, and should not be distributed to them, except when clients export their own servers (eg to implement a callback function): in this case, clients need all the classes concerned

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Enable performance counters by including the attribute in the node Valid settings (the default), , and Enabling all performance counare ters is recommended for development and diagnostic purposes, but because performance counters do come with some cost of overhead, is recommended for normal production operations, which category will enable only those in the

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You need a running instance of a WCF service or client to add performance counters in the Performance Monitor application Ensure performance counters are enabled in con guration and start your service, then add the counters you want to observe, and then run your client application

This section describes the foundation classes RemoteObject and RemoteServer, and provides general information about remote object semantics 781 RemoteObject javarmiserverRemoteObject is the abstract base class for the standard RMI server and stub classes It implements remote object semantics by overriding the methods for equals, hashCode, and toString The hashCode and equals methods are implemented to allow RemoteObjectreferences to be stored in hashtables and compared:

Source code analysis results can also point out trends over time Teams that are focused on security will decrease the number of static analysis ndings in their code A sharp increase in the number of issues found deserves attention Figure 35 shows the number of issues found during a series of nightly builds For this particular project, the number of issues found on February 2 spikes because the development group has just taken over a module from a group that has not been focused on security

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