Source Code Analytics With Roslyn and JavaScript Data Visualization (e-bog) af Mukherjee, Sudipta
Mukherjee, Sudipta (forfatter)

Source Code Analytics With Roslyn and JavaScript Data Visualization e-bog

238,03 DKK (inkl. moms 297,54 DKK)
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. Howeve...
E-bog 238,03 DKK
Forfattere Mukherjee, Sudipta (forfatter)
Forlag Apress
Udgivet 20 december 2016
Genrer Computer programming / software engineering
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781484219256
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 LearnUnderstand the Roslyn Syntax APIUse Data Visualization techniques to assist code analysis process visuallyCode health monitoring matrices (from the standard of Code Query Language)Code mining techniques to identify design patterns used in source codeCode forensics techniques to identify probable author of a given source codeTechniques to identify duplicate/near duplicate codeWho This Book is For.NET Software Developers and Architects