A Framework For Efficient Modular Heap Analysis (Foundations and Trends (R) in Programming Languages): 3 (Foundations and Trends® in Programming Languages) [Paperback] Madhavan, Ravichandhran; Ramalingam, G. and Vaswani, Kapil

Madhavan, Ravichandhran; Ramalingam, G; Vaswani, Kapil

ISBN 10: 1680830023 / ISBN 13: 9781680830026

Published by Now Publishers, 2015

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Minor wear at edges/corners. Faint storage scratches to cover. Light marks at extremities of text blocks. Text as new and unread. Seller Inventory # 039805-6

Bibliographic Details

Title: A Framework For Efficient Modular Heap ...

Publisher: Now Publishers

Publication Date: 2015

Binding: Soft cover

Condition: Very Good

About this title

Synopsis:

Modular heap analysis techniques analyze a program by computing summaries for every procedure in the program that describes its effects on an input heap, using pre-computed summaries for the called procedures. In A Framework For Efficient Modular Heap Analysis, the focus is on a family of modular heap analyses that summarize a procedure's heap effects using a context-independent, shape-graph-like summary that is agnostic to the aliasing in the input heap. These analyses are very efficient but their complexity and the absence of a theoretical formalization and correctness proofs makes it hard to produce correct extensions and modifications of these algorithms - whether to improve precision or scalability or to compute more information. A Framework For Efficient Modular Heap Analysis presents a modular heap analysis framework that generalizes these four analyses. It formalizes this framework as an abstract interpretation and establishes the correctness and termination guarantees. It formalizes the four analyses as instances of the framework. The formalization explains the basic principle behind such modular analyses and simplifies the task of producing extensions and variations of such analyses. A Framework For Efficient Modular Heap Analysis is written with exceptional clarity and is a delightful read for program analysis experts and novices alike.