Source Code Analytics With Roslyn and JavaScript Data Visual 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Source Code Analytics With Roslyn and JavaScript Data Visual

简体网页||繁体网页
Sudipta Mukherjee 作者
Apress
译者
2017-1-13 出版日期
194 页数
USD 24.99 价格
Paperback
丛书系列
9781484219249 图书编码

Source Code Analytics With Roslyn and JavaScript Data Visual 在线电子书 图书标签: pl  compiler  Roslyn   


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发表于2024-11-09


Source Code Analytics With Roslyn and JavaScript Data Visual 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Source Code Analytics With Roslyn and JavaScript Data Visual 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Source Code Analytics With Roslyn and JavaScript Data Visual 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Source Code Analytics With Roslyn and JavaScript Data Visual 在线电子书 著者简介

Sudipta Mukherjee is a software engineer based in India and the author of Thinking in LINQ (Apress 2014)


Source Code Analytics With Roslyn and JavaScript Data Visual 在线电子书 图书目录


Source Code Analytics With Roslyn and JavaScript Data Visual 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Source Code Analytics With Roslyn and JavaScript Data Visual 在线电子书 图书描述

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 Syntax API

How to use Data Visualization techniques to assist code analysis process visually.

Code Health Monitoring Matrices (from the standard of Code Query Language)

Code Mining techniques to identify design patterns used in source code.

Code Forensics techniques to identify probable author of a given source code.

Techniques to identify duplicate/near duplicate code

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