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To install the OCR software for the Lexmark printer without a CD, all you need to ... Choose the Driver Finder option followed by the Drivers & Downloads menu.

purpose of testing static analysis tools [Zitser, 2004] Kratkiewicz later created a set of scripts to generate vulnerable programs with different characteristics [Kratkiewicz, 2005] The SAMATE group at NIST (http://samatenistgov) is in the process of creating a publicly available reference data set for the purpose of benchmarking static analysis tools Tim Newsham and Brian Chess have developed the Analyzer Benchmark (ABM), which consists of a mix of small hand-crafted programs and large real-world programs meant for characterizing static analysis tools [Newsham and Chess, 2005] All of the ABM test cases have been donated to the NIST SAMATE project The Department of Homeland Security s Build Security In site (https://buildsecurityinus-certgov) hosts a set of sample programs developed by Cigital that are meant to help evaluate static analysis tools Beyond selecting test cases, benchmarking static analysis tools is dif cult because there is no widely agreed-upon yardstick for comparing results It s hard to reach a general consensus about whether one possible trade-off between false positives and false negatives is better than another If you need to perform a tool evaluation, our best advice is to run all the tools against a real body of code that you understand well If possible, use a program that contains known vulnerabilities Compare results in light of your particular needs Ease of Use A static analysis tool is always the bearer of bad news It must convince a programmer that the code does something unexpected or incorrect If the way the tool presents its ndings is not clear and convincing, the programmer is not likely to take heed Static analysis tools have greater usability problems than that, though If a tool does not present good error information when it is invoked incorrectly or when it cannot make sense of the code, users will not understand the limitations of the results they receive In general, nding the source code that needs to be analyzed is a hard job because not all source les are relevant under all circumstances, and languages such as C and C++ allow code to be included or not included using preprocessor directives The best way for a tool to identify the code that actually needs to be analyzed is for it to integrate smoothly with the program s build system Popular build tools include Make, Ant, Maven, and a whole manner of integrated development environments such as Microsoft s Visual Studio and the open source.



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One excellent OCR program that works for a Lexmark scanner is Maestro Recognition ... To test out Maestro with your scanner, you can download the free trial ...

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Arnold, Gosling, and Holmes, The Java Programming Language, 3rd edition, Addison Wesley, 2000 Campione and Walrath, The Java Tutorial, 2nd edition, Addison Wesley, 1998 Campione, Walrath, Huml, et al, The Java Tutorial Continued, Addison Wesley, 1999 Chan, The Java Developers Almanac 2000, Addison Wesley, 2000 Chan, Lee, and Kramer, The Java Class Libraries, 2nd Edition, Vols I, II, and Supplement, Addison Wesley, 1998, 1999 Freeman, Hupfer, and Arnold, JavaSpaces Principles, Patterns, and Practice, Addison Wesley 1999 Gong, Inside Java 2 Platform Security: Architecture, API Design, and Implementation, Addison Wesley, 1999 Gosling, Joy, Steele, and Bracha, The Java Language Specification, 2nd edition, Addison Wesley, 2000 Lea, Concurrent Programming in Java, Addison Wesley, 1997





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program Eclipse Integrating within a programmer s development environment also provides a forum for presenting results In an industrial setting, a source code analysis tool must t in as part of the software development process (This is the topic of 3) Because the same codebase can grow and evolve over a period of months, years or decades, the tool should make it easy to review results through multiple revisions of the code It should allow users to suppress false positives so that they don t have to review them again in the future or to look at only issues that have been introduced since the last review All static analysis tools make trade-offs between false positives and false negatives Better tools allow the user to control the trade-offs they make, to meet the speci c needs of the user Analyzing the Source vs Analyzing Compiled Code Most static analysis tools examine a program as the compiler sees it (by looking at the source code), but some examine the program as the runtime environment sees it (by looking at the bytecode or the executable) Looking at compiled code offers two advantages: The tool does not need to guess at how the compiler will interpret the code because the compiler has already done its work Removing the compiler removes ambiguity Source code can be hard to come by In some circumstances, it is easier to analyze the bytecode or the executable simply because it is more readily available A few distinct disadvantages exist, too: Making sense out of compiled code can be tough A native executable can be dif cult to decode This is particularly true for formats that allow variable-width instructions, such as Intel x86, because the meaning of program changes depending upon where decoding begins Some static analysis tools use information gleaned from dynamic analysis tools such as IDA Pro to counter this problem Even a properly decoded binary lacks the type information that is present in source code The lack of type information makes analysis harder Optimizations performed by the compiler complicate matters further Languages such as Java that are compiled into bytecode do not have the same decoding problem, and type information is present in the bytecode, too But even without these problems, the transformations performed by the compiler can throw away or obscure information about.

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Watch out when you hear people making arguments such as Given the context of the code, there is no way for fgets() to fail here If they ve acquired their intuition using a limited number of operating systems or execution environments, their assumptions might not always hold

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