Skip to content

Opening book details…

Can I read Professional UML with Visual Studio .NET : unmasking Visio for Enterprise Architects on EtoBox?

Professional UML with Visual Studio .NET : unmasking Visio for Enterprise Architects by Andrew Filev, Tony Loton, Kevin McNeish, Ben Schoellmann, John Slater, Chaur G. Wu is a nonfiction available to read on EtoBox.

What is Professional UML with Visual Studio .NET : unmasking Visio for Enterprise Architects about?

If you want to use Visio for Enterprise Architects to quickly design and create enterprise software, this is the book for you.The integration of Visual Studio .NET Enterprise Architect and Visio for Enterprise Architects is a formidable combination. Visio offers powerful diagramming capabilities, including such things as creating UML models, mapping out and generating databases, and aiding the development of distributed systems. Visio's integration with Visual Studio .NET Enterprise Architect means that C# or Visual BasicR .NET code can be generated from UML diagrams, thus giving your projects a significant kick-start, and Visual Studio .NET projects can also be reverse engineered to UML models.This book will finally help you make the most of Visio's time- and labor-saving features, and unleash Visio's power for your enterprise development.To use this book you must be comfortable with the basic concepts of UML.What you will learn from this book\* Diagramming business components in Visio\* Generating code from UML models\* Reverse engineering Visual Studio .NET projects into UML models, with or without source code\* Documenting projects with UML and Visio\* Designing distributed app

Who reads Professional UML with Visual Studio .NET : unmasking Visio for Enterprise Architects?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Andrew Filev, Tony Loton, Kevin McNeish, Ben Schoellmann, John Slater, Chaur G. Wu
Publisher
Wrox Press
Published
2002
Language
EN
ISBN
9781861007957
Category
nonfiction
Subjects
Language Learning, Science, Computer Science

Other editions & translations

More by Andrew Filev, Tony Loton, Kevin McNeish, Ben Schoellmann, John Slater, Chaur G. Wu

Browse all works by Andrew Filev, Tony Loton, Kevin McNeish, Ben Schoellmann, John Slater, Chaur G. Wu

Similar books