Resolving and Exploiting the k-CFA Paradox: Illuminating Functional vs. Object-oriented Program Analysis
Title | Resolving and Exploiting the k-CFA Paradox: Illuminating Functional vs. Object-oriented Program Analysis |
Publication Type | Conference Papers |
Year of Publication | 2010 |
Authors | Might M, Smaragdakis Y, Van Horn D |
Conference Name | PLDI '10 Proceedings of the 2010 ACM SIGPLAN Conference on Programming Language Design and Implementation |
Date Published | 2010/// |
Publisher | ACM |
ISBN Number | 978-1-4503-0019-3 |
Keywords | control-flow analysis, functional, k-cfa, m-cfa, object-oriented, pointer analysis, static analysis |
Abstract | Low-level program analysis is a fundamental problem, taking the shape of "flow analysis" in functional languages and "points-to" analysis in imperative and object-oriented languages. Despite the similarities, the vocabulary and results in the two communities remain largely distinct, with limited cross-understanding. One of the few links is Shivers's k-CFA work, which has advanced the concept of "context-sensitive analysis" and is widely known in both communities. Recent results indicate that the relationship between the functional and object-oriented incarnations of k-CFA is not as well understood as thought. Van Horn and Mairson proved k-CFA for k ≥ 1 to be EXPTIME-complete; hence, no polynomial-time algorithm can exist. Yet, there are several polynomial-time formulations of context-sensitive points-to analyses in object-oriented languages. Thus, it seems that functional k-CFA may actually be a profoundly different analysis from object-oriented k-CFA. We resolve this paradox by showing that the exact same specification of k-CFA is polynomial-time for object-oriented languages yet exponential-time for functional ones: objects and closures are subtly different, in a way that interacts crucially with context-sensitivity and complexity. This illumination leads to an immediate payoff: by projecting the object-oriented treatment of objects onto closures, we derive a polynomial-time hierarchy of context-sensitive CFAs for functional programs. |
URL | http://doi.acm.org/10.1145/1806596.1806631(link is external) |