Comments (1)
One particularly interesting method is by using so-called "Logical lattices", outlined in Combining Abstract Interpreters. A logical lattice is one where the order is implication, with the base set being the set of finite conjunctions over some theory (cf #41). They further show a method to combine multiple lattices which results in an extremely precise lattice (more precise than the reduced product), assuming some suitable conditions (convexity, stably infinite input lattices, and disjoint theories (apart from equality)). The downside is that the join and existential operators, at least in their implementation, have O(n^2) complexity, but that looks like it can be countered by laziness.
from hoopl.
Related Issues (20)
- Stateful transformation causes non-termination in Hoopl analysis.
- Hoopl not mentioned on "Library submission" page HOT 3
- Clean up the repository HOT 5
- Please update cabal file on hackage to point to this issue tracker HOT 3
- Decide on coding style HOT 23
- Migrate tests from test-framework to tasty HOT 4
- Who are maintainers of Hoopl? HOT 13
- Update website in cabal file HOT 3
- Runtime error caused by fromJust in module Dataflow HOT 2
- Interleaving of multiple passes HOT 1
- Interleaving multiple transfer functions using the same type of fact? HOT 1
- More advanced lattices for more precise analysis HOT 1
- Upload tag v3.10.2.2 to Hackage HOT 3
- Conditional jumps with fall-through not always ordered properly by postorder_dfs HOT 4
- Also revise test deps to allow base 4.11
- hoopl-3.10.2.2 test suite does not compile
- test build failure HOT 2
- Hoopl collection classes could use enummapset? HOT 6
- Inconsistency between paper and library
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from hoopl.