NDLI: Inter-procedural data-flow analysis with IFDS/IDE and Soot

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Inter-procedural data-flow analysis with IFDS/IDE and Soot

Content Provider	ACM Digital Library
Author	Bodden, Eric
Abstract	The IFDS and IDE frameworks by Reps, Horwitz and Sagiv are two general frameworks for the inter-procedural analysis of data-flow problems with distributive flow functions over finite domains. Many data-flow problems do have distributive flow functions and are thus expressible as IFDS or IDE problems, reaching from basic analyses like truly-live variables to complex analyses for problems from the current literature such as typestate and secure information-flow. In this work we describe our implementation of a generic IFDS/IDE solver on top of Soot and contrast it with an IFDS implementation in the Watson Libraries for Analysis (WALA), both from a user's perspective and in terms of the implementation. While WALA's implementation is geared much towards memory efficiency, ours is currently geared more towards extensibility and ease of use and we focus on efficiency as a secondary goal. We further discuss possible extensions to our IFDS/IDE implementation that may be useful to support a wider range of analyses.
Starting Page	3
Ending Page	8
Page Count	6
File Format	PDF
ISBN	9781450314909
DOI	10.1145/2259051.2259052
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-06-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Inter-procedural static analysis Ide Ifds Flow-sensitive analysis
Content Type	Text
Resource Type	Article

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