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A Transformational Approach to Resource Analysis with Typed-Norms

  • Elvira Albert
  • Samir Genaim
  • Raúl GutiérrezEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8901)

Abstract

In order to automatically infer the resource consumption of programs, analyzers track how data sizes change along a program’s execution. Typically, analyzers measure the sizes of data by applying norms which are mappings from data to natural numbers that represent the sizes of the corresponding data. When norms are defined by taking type information into account, they are named typed-norms. The main contribution of this paper is a transformational approach to resource analysis with typed-norms. The analysis is based on a transformation of the program into an intermediate abstract program in which each variable is abstracted with respect to all considered norms which are valid for its type. We also sketch a simple analysis that can be used to automatically infer the required, useful, typed-norms from programs.

Keywords

Logic Program Recursive Call Transformational Approach Intermediate Representation Resource Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Complutense University of MadridMadridSpain
  2. 2.DSICUniversitat Politècnica de ValènciaValenciaSpain

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