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Software Visualization, by Stephan Diehl
Free PDF Software Visualization, by Stephan Diehl
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Software visualization encompasses the development and evaluation of methods for graphically representing different aspects of software, including its structure, its execution, and its evolution. Software visualization combines techniques from areas like software engineering, programming languages, data mining, computer graphics, information visualization and human-computer interaction. So far, there exist only anthologies and proceedings about software visualization. With this book, Stephan Diehl has written the first textbook on software visualization. As such it targets both students and teachers in computer science. Topics covered include static program visualization, algorithm animation, visual debugging, as well as the visualization of the evolution of software. The author's presentation emphasizes common principles and provides different examples mostly taken from seminal work. In addition, each chapter is followed by a list of exercises including both pen and paper exercises, as well as programming tasks. Although written mostly for graduate students, the book will also be a source for researchers in both academia and industry, as it will provide a broad and systematic overview of the area including many pointers to tools available today.
- Sales Rank: #3210864 in eBooks
- Published on: 2007-05-01
- Released on: 2007-05-01
- Format: Kindle eBook
Review
From the reviews:
"As the first existing textbook on software visualization, Diehl has managed to put together a good overview of this interesting field."
"Diehl steers the reader through different techniques as a good tourist guide would do: pointing out the most significant aspects, while leaving out many details that might be of partial interest for his intended audience." (Fernando Berzal, Computing Reviews, December 2007)
�"...this is a book with clear explanations that is well structured and easy to read, yet profound enough for a second, more thorough reading." (Jose Lloret, Computing Reviews, October 2007)
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From the Back Cover
Software visualization encompasses the development and evaluation of methods for graphically representing different aspects of software, including its structure, its execution, and its evolution. Software visualization combines techniques from areas like software engineering, programming languages, data mining, computer graphics, information visualization and human-computer interaction.
So far, there exist only anthologies and proceedings about software visualization. With this book, Stephan Diehl has written the first textbook on software visualization. As such it targets both students and teachers in computer science. Topics covered include static program visualization, algorithm animation, visual debugging, as well as the visualization of the evolution of software. The author's presentation emphasizes common principles and provides different examples mostly taken from seminal work. In addition, each chapter is followed by a list of exercises including both pen and paper exercises, as well as programming tasks. Although written mostly for graduate students, the book will also be a source for researchers in both academia and industry, as it will provide a broad and systematic overview of the area including many pointers to tools available today.
About the Author
Stephan Diehl is a full professor for computer science at the University of Trier, Germany. His research interests include programming languages and compiler design, web technologies, educational software and visualization, in particular software visualization. He teaches courses on software visualization at university as well as in industry and has been heavily involved in various international software visualization related events.
Most helpful customer reviews
0 of 8 people found the following review helpful.
Demasiado teorico
By Almeida Enrique C
Este libro, es demasiado teorico.
Esperaba algo con ejemplos mas practicos y detallados sobre la visualizacion de grandes proyectos de software.
Sirve como punto de partida de alguien que este interesado en la materia, para seguir estudiando la materia, pero no para una aplicacion rapida de lo ahi conversado.
10 of 10 people found the following review helpful.
Excellent textbook, not intended as a quick start guide!
By Quinn Taylor
The previous reviewer (in Spanish) criticizes the book for being too theoretical and not having practical examples with details about visualizing large projects. They state that it is a starting point for someone interested in studying the subject, but not as a quick start for visualization. This is not surprising.
The description on the back cover refers to this book as "the first textbook on software visualization", which "targets both students and teachers in computer science". It further states that it is written for graduate students and researchers, "as it will provide a broad and systematic overview of the area including many pointers to tools available today".
In essence, such a review is like going to an Italian restaurant, then disparaging the food because you really wanted Mexican instead. It's not fair to the author or future readers.
The author does a phenomenal job of covering a very broad topic exactly as he intends to. The writing style is brief and informative, and the organization is excellent. The book is broken down into coherent sections that address specific methodologies that exist (or have existed) in this field. To wit, here is a summary of the chapter contents:
1. Introduction
Definition and explanation on software visualization, taxonomies and surveys, etc.
2. Visualization Basics
Basics of human perception and cognition, graphical representations, techniques, and metaphors.
3. Static Program Visualization
Observing properties such as program architecture, control flow, data flow, etc.
4. Dynamic Program Visualization
Visualizing runtime data, including algorithm animation and visual debugging.
5. Visualizing the Evolution of Software Systems
Visualizing how software structure, coupling, etc. evolve over time.
6. Evaluation
Quantitative and qualitative evaluations of various methods, plus empirical results.
7. Conclusions
Summaries, resources for further reading, and though on the future of visualization.
As a Master's student in Computer Science researching Software Visualization, this book is an invaluable resource. It covers virtually all of the seminal works and major ideas that have influenced the field in its short history. The author certainly provides abundant resources for the reader to find the individual tools, and if they are difficult to comprehend or use, the tool is to blame, not the author.
I highly recommend the book as a reference for the theory, history, and progress in the field of Software Visualization.
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