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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: 268.19 RON
Availability: InStock

Novel ideas to tame the scalability challenges

Autor: Rupesh Nasre

Limbă:

Legare: Carte broșată

Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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268.19 lei

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

Informații despre carte

Autor

Rupesh Nasre

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

212

EAN

9783659977183

Enbook ID

15359266

Editura

LAP Lambert Academic Publishing

Greutate

335

Dimensiuni

150 x 220 x 12

Descriere completă

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

Informații despre carte

Descriere completă

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