Generic Sensitivity: Customizing Context-Sensitive Pointer Analysis for Generics

Generic programming has been extensively used in object-oriented programs such as Java. However, existing context-sensitive pointer analyses perform poorly in analyzing generics. This paper introduces generic sensitivity, a new context customization scheme targeting generics. We design our context customization scheme in such a way that generic instantiation sites, i.e., locations instantiating generic classes/methods with concrete types, are always preserved as key context elements. This is realized by augmenting contexts with a type variable lookup map, which is efficiently updated during the analysis in a context-sensitive manner. We have implemented different variants of generic-sensitive analysis in WALA and experimental results show that the generic customization scheme can significantly improve performance and precision of context-sensitive pointer analyses. For instance, generic context customization significantly improves precision of 1-object-sensitive analysis, with an average speedup of 1.8x. In addition, generic context customization enables a 1-object-sensitive analysis to achieve overall better precision than a 2-object-sensitive analysis, with an averagely speed up of 12.6 x (62 x for chart).