عنوان

Source Code Analytics With Roslyn and JavaScript Data Visualization /

شابک

1484219252

شابک

9781484219256

شابک اشتباه

9781484219249

شماره

dltt

عنوان اصلي

Source Code Analytics With Roslyn and JavaScript Data Visualization /

نام عام مواد

[Book]

نام نخستين پديدآور

Sudipta Mukherjee ; foreword by Darius Blasband

نام خاص و کميت اثر

1 online resource (XXI, 170 pages)

متن يادداشت

Includes bibliographical references and index

متن يادداشت

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

بدون عنوان

0

متن يادداشت

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

شماره استاندارد بين المللي کتاب و موسيقي

9781484219249

موضوع مستند نشده

Computer programming.

موضوع مستند نشده

Computer science.

موضوع مستند نشده

Programming languages (Electronic computers)

موضوع مستند نشده

Software engineering.

موضوع مستند نشده

Source code (Computer science)

موضوع مستند نشده

Computer Science.

موضوع مستند نشده

Programming Languages, Compilers, Interpreters.

موضوع مستند نشده

Programming Techniques.

موضوع مستند نشده

Software Engineering.

موضوع مستند نشده

COM051000

موضوع مستند نشده

UM

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Mukherjee, Sudipta

مستند نام تنالگان تاييد نشده

Ohio Library and Information Network.

تاريخ عمليات

20201222071644.8

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

کد کاربرگه

270410

تكميل شده

Y