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Scaling Context-Sensitive Points-to Analysis

Name: Scaling Context-Sensitive Points-to Analysis
Brand: LAP Lambert Academic Publishing
SKU: 9783659977183
Price: 48.3 EUR
Availability: InStock

Novel ideas to tame the scalability challenges

Autor: Rupesh Nasre

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

Dostupnosť: Skladom u dodávateľa

Odosielame za 5-8 dní

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Pointer analysis is one of the key static analyses during compilation and affects scalability and pr...

Informácie o knihe

Autor

Rupesh Nasre

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2016

Stránok

212

EAN

9783659977183

Enbook ID

15359266

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

335

Rozmery

150 x 220 x 12

Kompletný popis

Pointer analysis is one of the key static analyses during compilation and affects scalability and precision of several client transformations. Recent advances still lack an efficient and scalable context-sensitive inclusion-based pointer analysis. In this work, we propose four novel techniques to improve the scalability of context-sensitive points-to analysis for C/C++ programs. First, we develop an efficient way of storing the approximate points-to information using a multi-dimensional bloom filter (multibloom). Second, we devise a sound randomized algorithm that processes a group of constraints in a less precise but efficient manner and the remaining constraints in a more precise manner. Third, we transform the points-to analysis problem into finding a solution to a system of linear equations. Finally, we observe that the order in which points-to constraints are processed plays a vital role in the algorithm efficiency and propose a greedy heuristic based on the amount of points-to information computed by a constraint to prioritize the constraints. We illustrate that our algorithms help in scaling the state-of-the-art pointer analyses.

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Scaling Context-Sensitive Points-to Analysis

Novel ideas to tame the scalability challenges

Informácie o knihe

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