Source Code Analytics With Roslyn and JavaScript Data Visualization - Sudipta Mukherjee

Source Code Analytics With Roslyn and JavaScript Data Visualization (eBook)

eBook Download: PDF
2016 | 1st ed.
XXI, 170 Seiten
Apress (Verlag)
978-1-4842-1925-6 (ISBN)
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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
  • 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


Who This Book is For

.NET Software Developers and Architects


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

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

Chapter 1 Meet Roslyn SyntaxChapter 2 Code Quality MetricsChapter 3 Design Quality MetricsChapter 4 Code Performance MetricsChapter 5 Code MiningChapter 6 Code ForensicsChapter 7 Code Visualization

Erscheint lt. Verlag 20.12.2016
Zusatzinfo XXI, 170 p. 129 illus., 122 illus. in color.
Verlagsort Berkeley
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Mathematik / Informatik Informatik Software Entwicklung
Schlagworte Analytics • C# • Data Visualization • Roslyn • Semantic Analysis • source code • Source code analytics • VB.NET • Visual Studio
ISBN-10 1-4842-1925-2 / 1484219252
ISBN-13 978-1-4842-1925-6 / 9781484219256
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