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| Content Provider | ACM Digital Library |
|---|---|
| Author | Johannes, Dierk Wilhelm, Reinhard Seidel, Raimund |
| Abstract | This paper describes progress in a non-traditional approach to algorithm animation. We visualise the abstract execution of an algorithm instead of animating the algorithm for executions on concrete input data. Algorithms under consideration are imperative pointer-based algorithms. For our purpose, we need to compute invariants which describe the state of the heap. The most powerful method to accomplish this task automatically is shape analysis. However, the output of a shape analysis can get confusingly large and complex, and it may contain redundancy as well. We need to identify those configurations which are important according to our visualisation aim, such as teaching the algorithm. We present suitable methods for structuring the shape analysis output and for finding expressive configurations. Our approach is exemplified for binary tree algorithms. |
| Starting Page | 17 |
| Ending Page | 26 |
| Page Count | 10 |
| File Format | |
| ISBN | 1595930736 |
| DOI | 10.1145/1056018.1056021 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-05-14 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Invariant Abstract execution Shape analysis Algorithm animation Visualisation Tree |
| Content Type | Text |
| Resource Type | Article |
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