Computing abstract distances in logic programs

Casso, Ignacio de and Morales Caballero, José Francisco and López García, Pedro and Hermenegildo, Manuel V. (2019). Computing abstract distances in logic programs. In: "Computing Abstract Distances in Logic Programs: 29th International Symposium, LOPSTR 2019 Porto, Portugal, October 8–10, 2019 Revised Selected Papers". Lecture Notes in Computer Science (12042). Springer, Suiza, pp. 57-72. ISBN 978-3-030-45259-9. https://doi.org/10.1007/978-3-030-45260-5_4.

Description

Title: Computing abstract distances in logic programs
Author/s:
  • Casso, Ignacio de
  • Morales Caballero, José Francisco
  • López García, Pedro
  • Hermenegildo, Manuel V.
Item Type: Book Section
Title of Book: Computing Abstract Distances in Logic Programs: 29th International Symposium, LOPSTR 2019 Porto, Portugal, October 8–10, 2019 Revised Selected Papers
Date: November 2019
ISBN: 978-3-030-45259-9
ISSN: 0302-9743
Subjects:
Freetext Keywords: Abstract interpretation; Static analysis; Logic programming; Metrics; Distances; Complete lattices; Program semantics
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Abstract interpretation is a well-established technique for performing static analyses of logic programs. However, choosing the abstract domain, widening, fixpoint, etc. that provides the best precisioncost trade-off remains an open problem. This is in a good part because of the challenges involved in measuring and comparing the precision of different analyses. We propose a new approach for measuring such precision, based on defining distances in abstract domains and extending them to distances between whole analyses of a given program, thus allowing comparing precision across different analyses. We survey and extend existing proposals for distances and metrics in lattices or abstract domains, and we propose metrics for some common domains used in logic program analysis, as well as extensions of those metrics to the space of whole program analysis. We implement those metrics within the CiaoPP framework and apply them to measure the precision of different analyses over both benchmarks and a realistic program.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7318337ENTRAUnspecifiedWhole-Systems Energy Transparency
Government of SpainTIN2015-67522-C3-1-RTRACESFundación IMDEA SoftwareTecnologías y herramientas para el desarrollo de software consciente de los recurso, correcto y eficiente (IMDEA)
Madrid Regional GovernmentM141047003UnspecifiedUniversidad Politécnica de MadridN-GREENS program

More information

Item ID: 63676
DC Identifier: http://oa.upm.es/63676/
OAI Identifier: oai:oa.upm.es:63676
DOI: 10.1007/978-3-030-45260-5_4
Official URL: https://link.springer.com/chapter/10.1007%2F978-3-030-45260-5_4
Deposited by: Memoria Investigacion
Deposited on: 13 Oct 2020 08:33
Last Modified: 15 Oct 2020 06:16
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