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Titlebook: Source Code Analytics With Roslyn and JavaScript Data Visualization; Sudipta Mukherjee Book 2016 Sudipta Mukherjee 2016 Roslyn.Source code

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书目名称Source Code Analytics With Roslyn and JavaScript Data Visualization
编辑Sudipta Mukherjee
视频video
概述Learn how to build an interactive source code analytics system using Roslyn and JavaScript.Create and use practical code analysis tools utilizing the new features of Microsoft’s Roslyn compiler to und
图书封面Titlebook: Source Code Analytics With Roslyn and JavaScript Data Visualization;  Sudipta Mukherjee Book 2016 Sudipta Mukherjee 2016 Roslyn.Source code
描述Learn how to build an interactive source code analytics system using Roslyn and JavaScript. This concise 150 page book will help you create and use practical code analysis tools utilizing the new features of Microsoft’s Roslyn compiler to understand the health of your code and identify parts of the code for refactoring. .Source code is one of the biggest assets of a software company. However if not maintained well, it can become a big liability. As source code becomes larger. more complex and accessed via the cloud, maintaining code quality becomes even more challenging. The author provides straightforward tools and advice on how to manage code quality in this new environment. .Roslyn exposes a set of APIs which allow developers to parse their C# and VB.NET code and drastically lower the barrier to entry for Meta programming in .NET. Roslyn has a dedicated set of APIs for creating custom refactoring for integrating with Visual Studio. .This title will show readers how to use Roslyn along with industry standard JavaScript visualization APIs like HighCharts, D3.js etc to create a scalable and highly responsive source code analytics system. .What You Will Learn.Understand the Roslyn S
出版日期Book 2016
关键词Roslyn; Source code; Analytics; Source code analytics; Semantic analysis; Data Visualization; Visual Studi
版次1
doihttps://doi.org/10.1007/978-1-4842-1925-6
isbn_softcover978-1-4842-1924-9
isbn_ebook978-1-4842-1925-6
copyrightSudipta Mukherjee 2016
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Design Quality Metrics,the design choices made initially. Thus over time, as the codebase grows bigger and bigger, the design deviates from one part of the product to the other. If the overall code were compared to a huge castle, the architecture from one part of the castle to the next would be very different.
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Meet Roslyn Syntax API,ilers used to be like black boxes. Source code used to go at one end, and machine instructions/executibles came out the other end. However, in parsing code, compilers gained lot of knowledge, all of which used to get lost in the process. This knowledge could have served as the basis for writing analyzers.
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Code Quality Metrics,are doing what it takes to get to the picture of what they had been envisioning. We programmers can take a cue from our painter friends. While developing programs, developers can pause for a while to see whether we are getting where we wanted to go. However, till now all the resources we had worked
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