Indexing the extended Dyck-CFL reachability for context-sensitive program analysis

Many context-sensitive dataflow analyses can be formulated as an extended Dyck-CFL reachability problem, where function calls and returns are modeled as partially matched parentheses. Unfortunately, despite many works on the standard Dyck-CFL reachability problem, solving the extended version is still of quadratic space complexity and nearly cubic time complexity, significantly limiting the scalability of program analyses. This paper, for the first time to the best of our knowledge, presents a cheap approach to transforming the extended Dyck-CFL reachability problem to conventional graph reachability, a much easier and well-studied problem. This transformation allows us to benefit from recent advances in reachability indexing schemes, making it possible to answer any reachability query in a context-sensitive dataflow analysis within almost constant time plus only a few extra spaces. We have implemented our approach in two common context-sensitive dataflow analyses, one determines pointer alias relations and the other tracks information flows. Experimental results demonstrate that, compared to their original analyses, we can achieve orders of magnitude (10 2 × to 10 5 ×) speedup at the cost of only a moderate space overhead. Our implementation is publicly available. CCS Concepts: • Mathematics of computing → Graph algorithms; • Theory of computation → Program analysis; • Software and its engineering → Automated static analysis.