Inclusion-based alias analysis for C can be formulated as a context-free language (CFL) reachability problem. It is well known that the traditional cubic CFL-reachability algorithm does not scale well in practice. We present a highly scalable and efficient CFL-reachability-based alias analysis for C. The key novelty of our algorithm is to propagate reachability information along only original graph edges and bypass a large portion of summary edges, while the traditional CFL-reachability algorithm propagates along all summary edges. We also utilize the Four Russians’ Trick - a key enabling technique in the subcubic CFL-reachability algorithm - in our alias analysis. We have implemented our subcubic alias analysis and conducted extensive experiments on widely-used C programs from the pointer analysis literature. The results demonstrate that our alias analysis scales extremely well in practice. In particular, it can analyze the recent Linux kernel (which consists of 10M SLOC) in about 30 seconds.
Fri 24 OctDisplayed time zone: Tijuana, Baja California change
13:30 - 15:00 | |||
13:30 22mTalk | Validation of Memory Accesses Through Symbolic Analyses OOPSLA Henrique Nazaré Santos UFMG, Izabela Karennina Travizani Maffra UFMG, Willer Fernandes Santos UFMG, Leonardo Barbosa Oliveira UFMG, Laure Gonnord University of Lyon & LIP, France, Fernando Magno Quintão Pereira UFMG Link to publication | ||
13:52 22mTalk | Abstract Semantic Differencing via Speculative Correlation OOPSLA Link to publication | ||
14:15 22mTalk | Efficient Subcubic Alias Analysis for C OOPSLA Qirun Zhang The Hong Kong University of Science and Technology, A: Xiao Xiao The Hong Kong University of Science and Technology, A: Charles Zhang Hong Kong University of Science and Technology, A: Hao Yuan BOPU Technologies, A: Zhendong Su University of California, Davis Link to publication | ||
14:37 22mTalk | Static Analysis for Independent App Developers OOPSLA Lucas Brutschy ETH Zurich, Pietro Ferrara IBM Thomas J. Watson Research Center, Peter Müller ETH Zurich Link to publication |