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Published in:
2011 | OriginalPaper | Chapter
SPAS: Scalable Path-Sensitive Pointer Analysis on Full-Sparse SSA
Authors : Yulei Sui, Sen Ye, Jingling Xue, Pen-Chung Yew
Published in: Programming Languages and Systems
Publisher: Springer Berlin Heidelberg
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We present a new
SPAS
(Scalable
PA
th-
S
ensitive) framework for resolving points-to sets in C programs that exploits recent advances in pointer analysis.
SPAS
enables intraprocedural path-sensitivity to be obtained in flow-sensitive and context-sensitive (FSCS) techniques scalably, by using BDDs to manipulate program paths and by performing pointer analysis level-by-level on a full-sparse SSA representation similarly as the state-of-the-art
LevPA
(the FSCS version of SPAS). Compared with
LevPA
using all 27 C benchmarks in SPEC CPU2000 and CPU2006,
SPAS
incurs 18.42% increase in analysis time and 10.97% increase in memory usage on average, while guaranteeing that all points-to sets are obtained with non-decreasing precision.