NDLI: A combination framework for tracking partition sizes

Content Provider	ACM Digital Library
Author	Sagiv, Mooly Lev-Ami, Tal Gulwani, Sumit
Abstract	We describe an abstract interpretation based framework for proving relationships between sizes of memory partitions. Instances of this framework can prove traditional properties such as memory safety and program termination but can also establish upper bounds on usage of dynamically allocated memory. Our framework also stands out in its ability to prove properties of programs manipulating both heap and arrays which is considered a difficult task. Technically, we define an abstract domain that is parameterized by an abstract domain for tracking memory partitions (sets of memory locations) and by a numerical abstract domain for tracking relationships between cardinalities of the partitions. We describe algorithms to construct the transfer functions for the abstract domain in terms of the corresponding transfer functions of the parameterized abstract domains. A prototype of the framework was implemented and used to prove interesting properties of realistic programs, including programs that could not have been automatically analyzed before.
Starting Page	239
Ending Page	251
Page Count	13
File Format	PDF
ISSN	03621340 15581160
DOI	10.1145/1594834.1480912
Journal	ACM SIGPLAN Notices (SIGP)
Volume Number	44
Issue Number	1
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1983-05-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Set analysis Space bounds Numerical analysis Shape analysis Combining analyses Termination Memory safety
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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