Titlebook: Software Visualization; International Semina Stephan Diehl Conference proceedings 2002 Springer-Verlag Berlin Heidelberg 2002 Algorithm.Alg

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憎惡

Software Visualization for Reverse Engineeringintenance. Results from a recent survey on software visualization in these domains are reported. According to this survey, Bauhaus can indeed be considered a typical representative of these domains regarding the way software artifacts are visualized. Specific requirements for software visualizations

Anthem

繁殖

JAVAVIS: Automatic Program Visualization with Object and Sequence Diagrams Using the Java Debug Inteease is on sequential Java programs, although there is some support for visualizing concurrent threads. The system uses the Java Debug Interface (JDI), so there are no modifications needed in the Java source code for the extraction of information. The system shows the dynamic behavior of a running p

monologue

Visualizing Memory Graphseans to capture and explore program states. A memory graph gives a comprehensive view of all data structures of a program; data items are related by operations like dereferencing, indexing or member access. Although memory graphs are typically too large to be visualized as a whole, one can easily fo

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Chapter 3 Software Visualization and Educationrt students. SOS is a 30 minute film which describes nine sorting algorithms. The most referenced part of the film is one of the final scenes where a ‘grand race’ of the nine algorithms is depicted as nine simultaneously animated cartesian graphs. This scene, shown in figure 1, clearly indicates the

Brain-Waves

Structure and Constraints in Interactive Exploratory Algorithm Learningatic snapshots. My aim is to foster creativity, motivation and high level programming concepts by providing the student an alternative route to algorithm understanding: exploratory learning. The algorithm is structured into several functions and this structure is presented to the student. The studen

anagen

A Language and System for Constructing and Presenting Low Fidelity Algorithm Visualizationster used as visual aids in lectures, or as the basis for interactive labs. Typically, such visualizations are high fidelity in the sense that (a) they depict the target algorithm for arbitrary input, and (b) they tend to have the polished look of textbook figures. In contrast, low fidelity visualiza

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Structure and Constraints in Interactive Exploratory Algorithm Learningtion calls that will solve the problem instance. The instructor can control the difficulty of the task by providing algorithm constraints. Each new constraint will shrink the solution space and thus ease the task.