Inclusion-based pointer analysis

WebInclusion-based PTAs are typically flow-sensitive but context-insensitive. Unification-based PTAs are typically context-sensitive but flow-insensitive. 11 Unification-based PTA -- an … WebMay 9, 2024 · ICSE 2024 Technical Track. We present PUS, a fast and highly efficient solver for inclusion-based pointer analysis. At the heart of PUS is a new constraint solving …

Inclusion: The Starting Point for Effective Teams - PCORI

WebApr 1, 2007 · An Efficient Inclusion-Based Points-To Analysis for Strictly-Typed Languages. In Proceedings of the 9th International Static Analysis Symposium, Madrid, Spain, September 2002. Pages 180-195. (37% acceptance rate) ( PDF ) ( Postscript ) ( BibTEX ) ( CiteSeer ) ( Springer-Verlag link ) ( Presentation slides ) WebInclusion-based PTAs are typically flow-sensitive but context-insensitive. Unification-based PTAs are typically context-sensitive but flow-insensitive. 11 Unification-based PTA -- an example A Context-insensitive Points-To Graph: 12 1 2 3 Unification-based PTA -- an example A Context-sensitive Points-To Graph: how many cubic feet are in 4 cubic yards https://sussextel.com

Inclusion: The Starting Point for Effective Teams - PCORI

WebIn this section, we introduce the background of inclusion-based pointer analysis. Inclusion-based Pointer Analysis. The inter-procedural inclusion-based pointer analysis abstracts … WebNov 8, 2009 · Inclusion-Based Multi-level Pointer Analysis Abstract: A novel approach for points-to information analysis is presented, which can deal with not only the single dereferenced pointers, but also the multiple dereferenced pointers, arrays and … Web// In pointer analysis terms, this is a subset-based, flow-insensitive, // field-sensitive, and context-insensitive algorithm pointer algorithm. // // This algorithm is implemented as three stages: // 1. Object identification. // 2. Inclusion constraint identification. // 3. Offline constraint graph optimization // 4. Inclusion constraint solving. how many cubic cm in cubic m

A Survey of Optimization Technology of Inclusion-Based Pointer …

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Inclusion-based pointer analysis

GitHub - grievejia/andersen: Andersen

WebJan 1, 2015 · Inclusion-based points-to analysis (i.e., Andersen-style points-to analysis [ 2 ]) is a classical points-to analysis technique. It advocates an idea of translating a program into a set of inclusion constraints on the points-to sets and then iteratively solving these constraints to yield the results [ 2 – 4 ]. Web// In pointer analysis terms, this is a subset-based, flow-insensitive, // field-sensitive, and context-insensitive algorithm pointer algorithm. // // This algorithm is implemented as …

Inclusion-based pointer analysis

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WebIt starts with the analysis of the top-most function in the call-graph and then proceeds with the analysis of its callees in a topological order. While analyzing a specific callee, it considers the join of the call contexts of all its callers. WebPointer analysis is one of the fundamental problems in static program analysis. Given a set of pointers, the task is to produce a useful over-approximation of the memory locations …

Webstate-of-the-art inclusion-based pointer analysis algorithms, namely, HT, PKH, and BLQ. We find that HT is the fastest— 1.9 faster than PKH and 6.5 faster than BLQ. We … WebInclusion: The Starting Point for Effective Teams What is Inclusion? Inclusion refers to the behaviors and social norms intended to ensure that people feel welcome, are treated fairly …

WebIt is shown that whole-program context-sensitive inclusion-based pointer analysis, a previously intractable problem, can be efficiently solved using binary decision diagrams and that a context-insensitive pointer analysis implemented with bddbddb is about twice as fast as a carefully hand-tuned version. 36 PDF View 1 excerpt, cites background WebDec 1, 2014 · Because of its high precision as a flow-insensitive pointer analysis, Andersen's analysis has been deployed in some modern optimising compilers. To obtain improved …

WebMay 27, 2024 · A crucial performance bottleneck in most interprocedural static analyses is solving pointer analysis constraints. We present Pus, a highly efficient solver for inclusion-based pointer analysis. At the heart of Pus is a new constraint solving algorithm that signifi-cantly advances the state-of-the-art. Unlike the existing algorithms (i.e., wave and deep …

how many cubic feet are in 28 cubic yardWebOct 11, 2024 · Given an array arr[] of n sorted integer elements and an integer X, the task is to find the lower insertion point of X in the array. The lower insertion point is the index of … how many cubic cm in a cubic inchWebJul 20, 2011 · This paper summarizes two classes of improvement methods of inclusion-based analysis in recently twenty years, including: on-line optimizing technology such as … high school years promWebOct 2, 2024 · PWCs significantly affect analysis performance when analyzing large C/C++ programs with heavy use of structs and classes.para This paper presents Dea, a fast and precise approach to handling of... high school years usWebJan 1, 2009 · Inclusion-Based Multi-level Pointer Analysis January 2009 DOI: 10.1109/AICI.2009.157 Authors: Yingxia Cui Longshu Li Sheng Yao Abstract A novel … how many cubic feet are in 40 quarts of soilWebpointers cannot alias if they do not have compatible types [10]. By following strict aliasing, we further improve the precision of TEADSA. We have evaluated TEADSA against SEADSA and SVF, a state-of-the-art inclusion-based pointer analysis in LLVM, on the verification problem of detecting unsafe memory ac-cesses. how many cubic feet are in a 55 gallon drumWebInclusion-based points-to analysis is context-insensitive and flow-insensitive. A context-sensitive analysis analyzes a pro- cedure separately for each context in which it is … how many cubic feet are in 40 lbs of topsoil