Necessity and Capability of Flow, Context, Field and Quasi Path Sensitive Points-to Analysis

Precise pointer analysis is desired since many program analyses benefit from it both in precision and performance. There are several dimensions of pointer analysis precision, flow sensitivity, context sensitivity, field sensitivity and path sensitivity. The more dimensions a pointer analysis considers, the more accurate its results will be. However, considering all dimensions is difficult because the trade-off between precision and efficiency should be balanced. This paper presents a flow, context, field and quasi path sensitive pointer analysis algorithm for C programs. Our algorithm runs on a control flow automaton, a key structure for our analysis to be flow sensitive. During the analysis process, we use function summaries to get context information. Elements of aggregate structures are handled to improve precision. We collect path conditions to filter unreachable paths and make all points-to relations gated. For efficiency, we propose a multi-entry mechanism. The algorithm is implemented in TsmartGP, which is an extension of CPAchecker. Our algorithm is compared with some state-of-the-art algorithms and TsmartGP is compared with cppcheck and Clang Static Analyzer by detecting uninitialized pointer errors in 13 real-world applications. The experimental results show that our algorithm is more accurate and TsmartGP can find more errors than other tools.