Scalable Propagation-Based Call Graph Construction Algorithms

摘要

Propagation-based call graph construction algorithms have been studied intensively in the 1990s, and differ primarily in the number of sets that are used to approximate run-time values of expressions. In practice, algorithms such as RTA that use a single set for the whole program scale well. The scalability of algorithms such as 0-CFA that use one set per expression remains doubtful. In this paper, we investigate the design space between RTA and 0-CFA. We have implemented various novel algorithms in the context of Jax, and application extractor for Java, and shown that they all scale to a 325,000-line progrma. A key property of these algorithms is that they do not analyze values on the run-time stack, which makes them efficient and easy to implement. Surprisingly, for detecting unreachable methods, the inexpensive RTA algorithm does almost as well as the seemingly more powerful algorithms. However, for determining call sites with a single target, one of our new algorithms obtains the current best tradeoff between speed and precision.