A Formal Framework to Measure the Incompleteness of Abstract Interpretations
summary
Defines a weaker distance notion called pre-metric that relaxes quasi-metric axioms so distances work on pre-ordered abstract and concrete domains, shows how to derive distances via concretization or abstraction, and introduces epsilon partial forward/backward-completeness. Uses Interpr with octagons and polyhedra and measures imprecision as extra volume (boxes approximation) finding octagons ≈33% larger than polyhedra and polyhedra ≈20% larger than concrete so polyhedra is 20% partial forward-complete while octagons fail; results are worked out manually, not implemented.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 0:23Abstract interpretations background
- 1:49Completeness vs incompleteness
- 3:55Partial backward completeness
- 5:41Quasimetric distances limits
- 8:15Premetric distances introduced
- 11:28Domain distance derivation
- 12:52Revised completeness properties
- 13:56Static analysis example
- 17:52Premetric axioms importance
- 19:16Q&A
