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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | No |
| Title | CodeCrawler: An Information Visualization Tool for Program Comprehension |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Page Range | 672 - 673 |
| Event Title | Proceedings of the 27th International Conference on Software Engineering |
| Place of Publication | St. Louis, MO, USA |
| Publisher | ACM |
| Abstract Text | CODECRAWLER is a language independent, interactive, software visualization tool. It is mainly targeted at visualizing object-oriented software, and in its newest implementation has become a general information visualization tool. It has been successfully validated in several industrial case studies over the past few years. CODECRAWLER strongly adheres to lightweight principles: it implements and visualizes polymetric views, visualizations of software enriched with information such as software metrics and other source code semantics. CODECRAWLER is built on top of Moose, an extensible language independent reengineering environment that implements the FAMIX metamodel. In its last implementation, CODECRAWLER has become a general-purpose information visualization tool. |
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