Abstract
The author reports on the application of recognition to multiple tasks requiring reverse engineering, such as inspecting, maintaining, and reusing software. This requires a flexible, adaptable recognition architecture. A recognition system based on graph parsing has been developed. It has a flexible, adaptable control structure that can accept advice from external agents. Its flexibility arises from using a chart parsing algorithm. This graph parsing approach is studied to determine what types of advice can enhance its capabilities, performance, and scalability.

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