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  1. Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications (OOPSLA '11)
  2. Kind analysis for MATLAB
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The sequential prison
SHERIFF: precise detection and automatic mitigation of false sharing
Data-driven synthesis for object-oriented frameworks
Integrated language definition testing: enabling test-driven language development
HAWKEYE: effective discovery of dataflow impediments to parallelization
Asynchronous assertions
Trustworthy numerical computation in Scala
Hybrid partial evaluation
A step towards transparent integration of input-consciousness into dynamic program optimizations
Kismet: parallel speedup estimates for serial programs
Product lines of theorems
Benefits and barriers of user evaluation in software engineering research
Declaratively programming the mobile web with Mobl
JIT compilation policy for modern machines
A simple abstraction for complex concurrent indexes
Virtual values for language extension
Type checking modular multiple dispatch with parametric polymorphism and multiple inheritance
Null dereference verification via over-approximated weakest pre-conditions analysis
Accentuating the positive: atomicity inference and enforcement using correct executions
Synthesis of first-order dynamic programming algorithms
Catch me if you can: performance bug detection in the wild
Automatic fine-grain locking using shape properties
Ribbons: a partially shared memory programming model
JET: exception checking in the Java native interface
SugarJ: library-based syntactic language extensibility
Enhancing locality for recursive traversals of recursive structures
Efficiently speeding up sequential computation through the n-way programming model
Gradual typing for generics
Da capo con scala: design and analysis of a scala benchmark suite for the java virtual machine
First-class state change in plaid
Reducing trace selection footprint for large-scale Java applications without performance loss
Composable, nestable, pessimistic atomic statements
Backstage Java: making a difference in metaprogramming
A syntactic type system for recursive modules
F4F: taint analysis of framework-based web applications
SOS: saving time in dynamic race detection with stationary analysis
Kind analysis for MATLAB
PREFAIL: a programmable tool for multiple-failure injection
Safe parallel programming using dynamic dependence hints
Why nothing matters: the impact of zeroing
Immutable specifications for more concise and precise verification
Reactive imperative programming with dataflow constraints
Flow-sensitive type recovery in linear-log time
Exploiting coarse-grain speculative parallelism
A theory of substructural types and control
Automated construction of JavaScript benchmarks
Cedalion: a language for language oriented programming
Variability-aware parsing in the presence of lexical macros and conditional compilation
Delegated isolation
Flexible object layouts: enabling lightweight language extensions by intercepting slot access
Freedom before commitment: a lightweight type system for object initialisation
RoleCast: finding missing security checks when you do not know what checks are
Testing atomicity of composed concurrent operations
Tool-supported refactoring for JavaScript
Synthesizing method sequences for high-coverage testing
Sprint: speculative prefetching of remote data
Two for the price of one: a model for parallel and incremental computation
Oracle scheduling: controlling granularity in implicitly parallel languages
Scalable join patterns
Self-adjusting stack machines
Safe and atomic run-time code evolution for Java and its application to dynamic AOP
AC: composable asynchronous IO for native languages

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Kind analysis for MATLAB

Content Provider ACM Digital Library
Author Radpour, Soroush Doherty, Jesse Hendren, Laurie
Abstract MATLAB is a popular dynamic programming language used for scientific and numerical programming. As a language, it has evolved from a small scripting language intended as an interactive interface to numerical libraries, to a very popular language supporting many language features and libraries. The overloaded syntax and dynamic nature of the language, plus the somewhat organic addition of language features over the years, makes static analysis of modern MATLAB quite challenging. A fundamental problem in MATLAB is determining the kind of an identifier. Does an identifier refer to a variable, a named function or a prefix? Although this is a trivial problem for most programming languages, it was not clear how to do this properly in MATLAB. Furthermore, there was no simple explanation of kind analysis suitable for MATLAB programmers, nor a publicly-available implementation suitable for compiler researchers. This paper explains the required background of MATLAB, clarifies the kind assignment program, and proposes some general guidelines for developing good kind analyses. Based on these foundations we present our design and implementation of a variety of kind analyses, including an approach that matches the intended behaviour of modern MATLAB 7 and two potentially better alternatives. We have implemented all the variations of the kind analysis in McLab, our extensible compiler framework, and we present an empirical evaluation of the various analyses on a large set of benchmark programs.
Starting Page 99
Ending Page 118
Page Count 20
File Format PDF
ISBN 9781450309400
DOI 10.1145/2048066.2048077
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-10-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Kind analysis Name resolution Matlab
Content Type Text
Resource Type Article
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