Code is run in a debugger for two main reasons: examining the branches of code that are being executed, and examining data values to determine why the code is behaving in a certain manner. Inspecting data values can be significantly improved by customizing the debug information. See how that can be done in the Visual C++ debugger.
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For large and complex applications, dealing with the amount of data collected can be difficult. See how the Visual Studio Team System (VSTS) Developer Edition Profiler can do an excellent job of finding performance problems by simply pointing it at an application and allowing it to collect data.
Learn about a dissasembly view of function calls, and decipher the __thiscall calling convention.
Explore a dissasembly view of function calls, including organization of the stack for local variables and the concept of stack frames and frame pointers.
Applications with great performance are a hallmark of C++ programming, and one of the best tools for achieving great application performance is a code profiler. Take a look at the Visual Studio Team System (VSTS) profiler, and see how it can be used to find code bottlenecks and improve performance.
Switch quickly between "cpp" and "h" C++ files. Two macros are given, one for finding quickly just in the current project and another to find in the solution.
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The Transactional File System (TxF), which allows access to an NTFS file system to be conducted in a transacted manner through extensions to the Windows SDK API. MFC 10, has been extended to support TxF and related technologies. This support allows existing MFC applications to be easily extended to support kernel transactions.
The original release of the .NET Framework included collections as .NET was introduced to the Microsoft programming world. The .NET Framework 2.0 introduced generics to complement the System.Collections namespace and provide a more efficient and well performing option. Read on to learn more...
Hannes du Preeze shows you how to use Regular Expressions to validate user input.
This article introduces you to Big Data, Apache Hadoop and MapReduce jobs. We will also learn how to create MapReduce jobs using C#.