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Software Visualization : Visualizing the Structure, Behaviour, and Evolution of Software - Stephan Diehl

Software Visualization

Visualizing the Structure, Behaviour, and Evolution of Software

By: Stephan Diehl

Hardcover | 24 April 2007

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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.

Industry Reviews

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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