NDLI: Dynamic inference of abstract types

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Dynamic inference of abstract types

Content Provider	ACM Digital Library
Author	Perkins, Jeff H. McCamant, Stephen Ernst, Michael D. Guo, Philip J.
Abstract	An abstract type groups variables that are used for related purposes in a program. We describe a dynamic unification-based analysis for inferring abstract types. Initially, each run-time value gets a unique abstract type. A run-time interaction among values indicates that they have the same abstract type, so their abstract types are unified. Also at run time, abstract types for variables are accumulated from abstract types for values. The notion of interaction may be customized, permitting the analysis to compute finer or coarser abstract types; these different notions of abstract type are useful for different tasks. We have implemented the analysis for compiled x86 binaries and for Java bytecodes. Our experiments indicate that the inferred abstract types are useful for program comprehension, improve both the results and the run time of a follow-on program analysis, and are more precise than the output of a comparable static analysis, without suffering from overfitting.
Starting Page	255
Ending Page	265
Page Count	11
File Format	PDF
ISBN	1595932631
DOI	10.1145/1146238.1146268
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-07-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Type inference Java Mixed-level analysis C++ C Values and variables Dynamic analysis Interaction Abstract types Units
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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