Scaling Context-Sensitive Points-to Analysis: Novel ideas to tame the scalability challenges - Couverture souple

Nasre, Rupesh

Couverture souple

ISBN 10 : 3659977187 ISBN 13 : 9783659977183

Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

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.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2016
• Langue: anglais
• ISBN 10: 3659977187
• ISBN 13: 9783659977183
• Reliure: Broché
• Nombre de pages: 212
• Coordonnées du fabricant: non disponible
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