Parallelizing top-down interprocedural analyses

Modularity is a central theme in any scalable program analysis. The core idea in a modular analysis is to build summaries at procedure boundaries, and use the summary of a procedure to analyze the effect of calling it at its calling context. There are two ways to perform a modular program analysis: (1) top-down and (2) bottomup. A bottom-up analysis proceeds upwards from the leaves of the call graph, and analyzes each procedure in the most general calling context and builds its summary. In contrast, a top-down analysis starts from the root of the call graph, and proceeds downward, analyzing each procedure in its calling context. Top-down analyses have several applications in verification and software model checking. However, traditionally, bottom-up analyses have been easier to scale and parallelize than top-down analyses. In this paper, we propose a generic framework, BOLT, which uses MapReduce style parallelism to scale top-down analyses. In particular, we consider top-down analyse...

• Type: Journal
• Year: 2012
• Where: PLDI
• Authors: Aws Albarghouthi, Rahul Kumar, Aditya V. Nori, Sriram K. Rajamani
• Keywords: Bottomup, Generic Framework, PLDI 2012, Programming Languages, Scalable Program Analysis