We develop PMAF, an algebraic framework for static anal- yses of probabilistic programs. PMAF provides a novel approach to analyzing probabilistic programs ...
PMAF introduces pre-Markov algebras to factor out common parts of different analyses. To perform interprocedural analysis and to create procedure summaries,.
... programs. This thesis focuses on an algebraic approach for static analysis of probabilistic programs. The thesis first provides a brief background on measure ...
This paper presents a framework, called PMAF, for designing, implementing, and proving the correctness of static analyses of probabilistic programs with ...
First, we investigate an algebraic approach to static analysis and explore its connections to abstract interpretation framework. We introduce the notion of.
Algebraic program analysis is a framework for understanding compositional program analysis through the lens of abstract algebra.
Missing: Query Measurement.
Abstract—The performance model of an application can provide understanding about its runtime behavior on particular hardware.
Dec 19, 2024 · We propose a method for conducting algebraic program analysis (APA) incrementally in response to changes of the program under analysis.
Querying and analyzing source code interactively is a critical task in reverse engineering and program un- derstanding. Current source code query systems ...
Missing: Measurement. | Show results with:Measurement.
This paper is a tutorial on algebraic program analysis. It explains the foundations of algebraic program analysis, its strengths and limitations, ...
Missing: Method Measurement.