| Publisher | University of California | ||
|---|---|---|---|
| Format | 561.9KB PDF | Date added | 13 Jun 2006 |
| Topics | Software Engineering, Programming Languages, Java | ||
| Downloads | 38 | ||
Recovering design patterns can enhance existing source code analysis tools by bringing program understanding to the design level. This paper presents a new, fully automated pattern detection approach. The new approach is based on the reclassification of the GoF patterns by their pattern intent. It is argued that the GoF pattern catalog classifies design patterns in the forward-engineering sense; the reclassification is better suited for reverse engineering. The authors' approach uses lightweight static program analysis techniques to capture program intent. This paper also describes the tool, PINOT, that implements this new approach. PINOT detects all the GoF patterns that have concrete definitions driven by code structure or system behavior.
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