Source Code Analytics With Roslyn and JavaScript Data Visualization

Name: Source Code Analytics With Roslyn and JavaScript Data Visualization
Brand: APress
SKU: 9781484219249
Price: 116.56 PLN
Availability: InStock

Autor: Sudipta Mukherjee

Język:

Oprawa: Miękka

Wydawca: APress

Dostępność: Dostępna u dostawcy

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116.56 zł

Learn how to build an interactive source code analytics system using Roslyn and JavaScript. This con...

Informacje o książce

Autor

Sudipta Mukherjee

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2017

strony

170

EAN

9781484219249

ISBN

1484219244

Enbook ID

02948322

Wydawca

APress

Waga

3786

Wymiary

178 x 254 x 254

Pełny opis

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 sharp 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 Code Parsing API§§Data Visualization techniques that make sense for your specific code analysis task§§Code Health Monitoring Matrices (from the standard of Code Query Language)§§Techniques to identify duplicate/near duplicate code § Who This Book is For: .NET Software Developers and Architects§

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