5,870 research outputs found
Variability Abstractions: Trading Precision for Speed in Family-Based Analyses (Extended Version)
Family-based (lifted) data-flow analysis for Software Product Lines (SPLs) is
capable of analyzing all valid products (variants) without generating any of
them explicitly. It takes as input only the common code base, which encodes all
variants of a SPL, and produces analysis results corresponding to all variants.
However, the computational cost of the lifted analysis still depends inherently
on the number of variants (which is exponential in the number of features, in
the worst case). For a large number of features, the lifted analysis may be too
costly or even infeasible. In this paper, we introduce variability abstractions
defined as Galois connections and use abstract interpretation as a formal
method for the calculational-based derivation of approximate (abstracted)
lifted analyses of SPL programs, which are sound by construction. Moreover,
given an abstraction we define a syntactic transformation that translates any
SPL program into an abstracted version of it, such that the analysis of the
abstracted SPL coincides with the corresponding abstracted analysis of the
original SPL. We implement the transformation in a tool, reconfigurator that
works on Object-Oriented Java program families, and evaluate the practicality
of this approach on three Java SPL benchmarks.Comment: 50 pages, 10 figure
Language-based Abstractions for Dynamical Systems
Ordinary differential equations (ODEs) are the primary means to modelling
dynamical systems in many natural and engineering sciences. The number of
equations required to describe a system with high heterogeneity limits our
capability of effectively performing analyses. This has motivated a large body
of research, across many disciplines, into abstraction techniques that provide
smaller ODE systems while preserving the original dynamics in some appropriate
sense. In this paper we give an overview of a recently proposed
computer-science perspective to this problem, where ODE reduction is recast to
finding an appropriate equivalence relation over ODE variables, akin to
classical models of computation based on labelled transition systems.Comment: In Proceedings QAPL 2017, arXiv:1707.0366
Variability Abstractions: Trading Precision for Speed in Family-Based Analyses
Family-based (lifted) data-flow analysis for Software Product Lines (SPLs) is capable of analyzing all valid products (variants) without generating any of them explicitly. It takes as input only the common code base, which encodes all variants of a SPL, and produces analysis results corresponding to all variants. However, the computational cost of the lifted analysis still depends inherently on the number of variants (which is exponential in the number of features, in the worst case). For a large number of features, the lifted analysis may be too costly or even infeasible. In this paper, we introduce variability abstractions defined as Galois connections and use abstract interpretation as a formal method for the calculational-based derivation of approximate (abstracted) lifted analyses of SPL programs, which are sound by construction. Moreover, given an abstraction we define a syntactic transformation that translates any SPL program into an abstracted version of it, such that the analysis of the abstracted SPL coincides with the corresponding abstracted analysis of the original SPL. We implement the transformation in a tool, that works on Object-Oriented Java program families, and evaluate the practicality of this approach on three Java SPL benchmarks
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