An old paper ('94) by Ole Agesen, abstract:

Constraint-based analysis is a technique for inferring implementation types. Traditionally it has been described using mathematical formalisms. We explain it in a different and more intuitive way as a flow problem. The intuition is facilitated by a direct correspondence between run-time and analysis-time concepts.

Precise analysis of polymorphism is hard; several algorithms have been developed to cope with it. Focusing on parametric polymorphism and using the flow perspective, we analyze and compare these algorithms, for the first time directly characterizing when they succeed and fail.

Our study of the algorithms lead us to two conclusions. First, designing an algorithm that is either efficient or precise is easy, but designing an algorithm that is efficient and precise is hard. Second, to achieve efficiency and precision simultaneously, the analysis effort must be actively guided towards the areas of the program with the highest pay-off. We define a general class of algorithms that do this: the adaptive algorithms. The two most powerful of the five algorithms we study fall in this class.

## Recent comments

12 min 47 sec ago

21 min 13 sec ago

28 min 8 sec ago

40 min 6 sec ago

2 hours 30 min ago

5 hours 37 min ago

7 hours 5 sec ago

8 hours 29 min ago

8 hours 31 min ago

12 hours 50 min ago