عنوان

Source Code Analytics With Roslyn and JavaScript Data Visualization /

(Number (ISBN

1484219252

(Number (ISBN

9781484219256

Erroneous ISBN

9781484219249

Number

dltt

Title Proper

Source Code Analytics With Roslyn and JavaScript Data Visualization /

General Material Designation

[Book]

First Statement of Responsibility

Sudipta Mukherjee ; foreword by Darius Blasband

Specific Material Designation and Extent of Item

1 online resource (XXI, 170 pages)

Text of Note

Includes bibliographical references and index

Text of Note

Chapter 1 Meet Roslyn Syntax -- Chapter 2 Code Quality Metrics -- Chapter 3 Design Quality Metrics -- Chapter 4 Code Performance Metrics -- Chapter 5 Code Mining -- Chapter 6 Code Forensics -- Chapter 7 Code Visualization

0

Text of Note

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

International Standard Book Number

9781484219249

Computer programming.

Computer science.

Programming languages (Electronic computers)

Software engineering.

Source code (Computer science)

Computer Science.

Programming Languages, Compilers, Interpreters.

Programming Techniques.

Software Engineering.

COM051000

UM

Number

Edition

Class number

Book number

Mukherjee, Sudipta

Ohio Library and Information Network.

Date of Transaction

20201222071644.8

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

270410

Y