Difference between revisions of "Abstract Interpretation"
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Revision as of 13:57, 15 January 2023
Abstract interpretation is a computational technique to approximate truth. In other words, it is computationally-based epistemology[1]. It analyzes Soundness, Precision, and Terminability of system specifications. The founders of this methodology are Patrick and Radhia Cousot, whose seminal paper on this subject can be found here[2]. Patrick Cousot also has a short explanation on Abstract Interpretation on a web page Abstract Interpretation in a Nutshell. A more elaborate website on this subject can be found on a website [3] maintained by Patrick Cousot. A course outline is available here:[4]. A textbook[5] by Patrick Cousot is also available.
Contents
The latest development in Abstract Interpretation[6],
See transcript of this video:Assembly AI Transcript
Concerto: A Framework for Combined Concrete and Abstract Interpretation
Courses that introduces Abstract Interpretation
References
- ↑ Szangolies, Jochen (Oct 18, 2018). Epistemic Horizons and the Foundations of Quantum Mechanics. local page: arXiv.
- ↑ Cousot, Patrick; Cousot, Radhia (1977). Abstract interpretation: a unified lattice model for static analysis of programs by construction or approximation of fixpoints (PDF). 4th POPL. local page: ACM Press. p. 238-252.
- ↑ https://www.di.ens.fr/~cousot/AI/
- ↑ http://web.mit.edu/afs/athena.mit.edu/course/16/16.399/www/
- ↑ Cousot, Patrick (Sep 2021). Principles of Abstract Interpretation. local page: ACM Press.
- ↑ Cousot, Patrick (Mar 4, 2019). A²I: Abstract² Interpretation. local page: POPL 2019.
Related Pages
Abstract Interpretation, Book/Galois Connections and Applications, Book/Principles of Abstract Interpretation, Paper/Abstract Interpretation