NDLI: Aggregate structure identification and its application to program analysis

Please wait, while we are loading the content...

AnnoDomini: from type theory to Year 2000 conversion tool

Once upon a polymorphic type

Quasi-linear types

Improvement in a lazy context: an operational theory for call-by-need

A compositional account of the Java virtual machine

A simple, comprehensive type system for Java bytecode subroutines

Types for mobile ambients

Trust and partial typing in open systems of mobile agents

Parametric shape analysis via 3-valued logic

Aggregate structure identification and its application to program analysis

Relevant context inference

A core calculus of dependency

Principality and decidable type inference for finite-rank intersection types

Representing layered monads

Stochastic processes as concurrent constraint programs

Extending the scope of syntactic abstraction

Dependent types in practical programming

JFlow: practical mostly-static information flow control

Optimal code selection in DAGs

Type-safe linking and modular assembly language

Typed memory management in a calculus of capabilities

Type-based analysis of uncaught exceptions

Constraint systems for useless variable elimination

Continuous grammars

Software watermarking: models and dynamic embeddings

Aggregate structure identification and its application to program analysis

Content Provider	ACM Digital Library
Author	Ramalingam, G. Field, John Tip, Frank
Abstract	In this paper, we describe an efficient algorithm for lazily decomposing aggregates such as records and arrays into simpler components based on the access patterns specific to a given program. This process allows us both to identify implicit aggregate structure not evident from declarative information in the program, and to simplify the representation of declared aggregates when references are made only to a subset of their components. We show that the structure identification process can be exploited to yield the following principal results: - A fast type analysis algorithm applicable to program maintenance applications such as date usage inference for the "Year 2000" problem. - An efficient algorithm for atomization of aggregates. Given a program, an aggregate atomization decomposes all of the data that can be manipulated by the program into a set of disjoint atoms such that each data reference can be modeled as one or more references to atoms without loss of semantic information. Aggregate atomization can be used to adapt program analyses and representations designed for scalar data to aggregate data. In particular, atomization can be used to build more precise versions of program representations such as SSA form or PDGs. Such representations can in turn yield more accurate results for problems such as program slicing.Our techniques are especially useful in weakly-typed languages such as Cobol (where a variable need not be declared as an aggregate to store an aggregate value) and in languages where references to statically-defined subranges of data such as arrays or strings are allowed.
Starting Page	119
Ending Page	132
Page Count	14
File Format	PDF
ISBN	1581130953
DOI	10.1145/292540.292553
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1999-01-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in