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POPL 2019
Sun 13 - Sat 19 January 2019 Cascais, Portugal
Fri 18 Jan 2019 10:35 - 10:57 at Sala II - Abstract Interpretation Chair(s): David Naumann

The fundamental idea of Abstract² Interpretation (A²I), also called meta-abstract interpretation, is to apply abstract interpretation to abstract inter-pre-ta-tion-based static program analyses. A²I is generally meant to use abstract interpretation to analyse properties of program analysers. A²I can be either offline or online. Offline A²I is performed either before the program analysis, such as variable packing used by the Astrée program analyser, or after the program analysis, such as in alarm diagnosis. Online A²I is performed during the program analysis, such as Venet’s cofibred domains or Halbwachs et al.’s and Singh et al.’s variable partitioning techniques for fast polyhedra/numerical abstract domains. We formalize offline and online meta-abstract interpretation and illustrate this notion with the design of widenings and the decomposition of relational abstract domains to speed-up program analyses. This shows how novel static analyses can be extracted as meta-abstract interpretations to design efficient and precise program analysis algorithms.

Slides (popl19_slides.pdf)2.52MiB

Fri 18 Jan

POPL-2019-Research-Papers
10:35 - 12:03: Research Papers - Abstract Interpretation at Sala II
Chair(s): David NaumannStevens Institute of Technology
POPL-2019-Research-Papers10:35 - 10:57
Talk
Patrick Cousot, Roberto GiacobazziUniversity of Verona and IMDEA Software Institute, Francesco RanzatoUniversity of Padova
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POPL-2019-Research-Papers10:57 - 11:19
Talk
John TomanUniversity of Washington, Seattle, Dan GrossmanUniversity of Washington
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POPL-2019-Research-Papers11:19 - 11:41
Talk
Martin BodinImperial College London, Philippa GardnerImperial College London, Thomas P. JensenINRIA Rennes, Alan SchmittInria
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POPL-2019-Research-Papers11:41 - 12:03
Talk
John CyphertUniversity of Wisconsin - Madison, Jason BreckUniversity of Wisconsin - Madison, Zachary KincaidPrinceton University, Thomas RepsUniversity of Wisconsin - Madison and GrammaTech, Inc.
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