Summary-Based Context-Sensitive Data-Dependence Analysis in Presence of Callbacks

Author:

Tang Hao1,Wang Xiaoyin2,Zhang Lingming3,Xie Bing1,Zhang Lu1,Mei Hong1

Affiliation:

1. Ministry of Education, Peking University, Beijing, China

2. University of Texas at San Antonio, San Antonio, TX, USA

3. University of Texas at Dallas, Dallas, TX, USA

Abstract

Building a summary for library code is a common approach to speeding up the analysis of client code. In presence of callbacks, some reachability relationships between library nodes cannot be obtained during library-code summarization. Thus, the library code may have to be analyzed again during the analysis of the client code with the library summary. In this paper, we propose to summarize library code with tree-adjoining-language (TAL) reachability. Compared with the summary built with context-free-language (CFL) reachability, the summary built with TAL reachability further contains conditional reachability relationships. The conditional reachability relationships can lead to much lighter analysis of the library code during the client code analysis with the TAL-reachability-based library summary. We also performed an experimental comparison of context-sensitive data-dependence analysis with the TAL-reachability-based library summary and context-sensitive data-dependence analysis with the CFL-reachability-based library summary using 15 benchmark subjects. Our experimental results demonstrate that the former has an 8X speed-up over the latter on average.

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

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