How do you organize an "industrial strength" one semester educational programming project for up to 200 second year students? This paper reports on four years of experience with such projects at the University of Paderborn and the University of Braunschweig. Key properties of our project design are: starting with an existing large application, regular hard deadlines with peer reviews and presentations to a large audience, working in groups, applying project and configuration management tools, a standard system architecture with interchangeable components and competing software agents, quality assurance and standard conformance testing through final overall system integration spanning all groups, and exposure to real-world project threats.

A method and a corresponding tool is described which assist design recovery and program understanding by recognising instances of design patterns semi-automatically. The approach taken is specifically designed to overcome the existing scalability problems caused by many design and implementation variants of design pattern instances. Our approach is based on a new recognition algorithm which works incrementally rather than trying to analyse a possibly large software system in one pass without any human intervention. The new algorithm exploits domain and context knowledge given by a reverse engineer and by a special underlying data structure, namely a special form of an annotated abstract syntax graph. A comparative and quantitative evaluation of applying the approach to the Java AWT and JGL libraries is also given.