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...common/analysis/src/main/java/hu/bme/mit/theta/analysis/algorithm/asg/README.md
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## Overview | ||
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This package contains two new data structures, a Proof and a Cex. | ||
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### Abstract State Graph | ||
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`ASG` is a more simple state space representation than `ARG`. It works and is implemented in a very similar way, | ||
except it does allow circles to appear in the graph. | ||
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### ASG trace | ||
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`ASGTrace` represents a lasso like trace, i.e. it is made with two parts: a tail and a loop. The loop is required | ||
to start and end in the last state of the tail. This node in the graph is called honda. |
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...nalysis/src/main/java/hu/bme/mit/theta/analysis/algorithm/loopchecker/README.md
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## Overview | ||
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This package provides algorithms that allow to look for accepting lasso shaped traces in a state space. | ||
A lasso is a special form of trace, consisting of two parts: a tail and a loop. Both are like classic traces, where the | ||
tail has to start from an initial state, and the loop has to start and end in the last state of the tail. | ||
Loopchecker has to be provided with a predicate that can mark either states or actions as accepting. The loop checking | ||
algorithms look for lasso traces that have such acceptance in their loop. | ||
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## Data structures | ||
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The data structures in Theta had a limitation that made them not suitable for the initial implementation of loopchecker. | ||
Both ARG and Trace do not allow circles to appear in the state space. For this reason, loopchecker uses the | ||
`hu.bme.mit.theta.analysis.algorithm.asg` package. | ||
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## Algorithms | ||
For abstraction and trace concretization there are 2-2 algorithms, completely interchangeable. This is implemented | ||
using the strategy design pattern. | ||
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### Abstraction | ||
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During abstraction, the `ASG` is built and explored until a valid `ASGTrace` is found. There are currently two algorithms | ||
implemented, both based on a dept first search. | ||
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#### Nested Depth-First Search | ||
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NDFS contains of two Depth-First searches right after eachother to find a lasso trace. The goal of the first DFS | ||
is to find any acceptance, and than the second should find the very same acceptance from there. | ||
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![]() | ||
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#### Guided depth first search | ||
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The basis of the | ||
algorithm is Depth-First Search (DFS), where we do only one search with a modified | ||
condition instead of two nested ones compared to NDFS. Let us call encountering an accepting state/transition an acceptance. In the DFS, while keeping an acceptance counter, | ||
look for a node that is already on the stack and has a smaller value on the counter | ||
than the top of the stack. | ||
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![]() | ||
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### Concretization | ||
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Concretizing a lasso trace requires an extra step after simple concretization. First the lasso is straightened to a classic | ||
trace, and a classic concretization is used to determine if it's even feasible. However, after that, one needs to make | ||
sure that the loop of the lasso is also a possible loop in the concrete state space. | ||
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#### Milano | ||
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This is a more direct approach. It checks whether the honda can be in the same | ||
state before and after the loop. This is done by adding the cycle validity constraint to the | ||
loop. An expression is added to the solver that requires all variables to have the same value in the first and | ||
last state of the loop. | ||
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![]() | ||
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#### Bounded unrolling | ||
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The idea of bounded unwinding comes from E. Clarke et al., who defined an algorithm | ||
to detect and refine lasso-shaped traces in the abstract state-space. The idea was that | ||
even though we do not know if an abstract loop directly corresponds to a concrete loop, | ||
we can be sure that the abstract loop can be concretized at most m different ways, where | ||
m is the size of the smallest abstract state in the loop (if we think about abstract states as | ||
sets of concrete states). That is because, if the loop is run m times and is concretizable, | ||
the state that had the smallest number of concrete states has to repeat itself at least once. | ||
The only limitations of the original algorithm were that it was defined for deterministic | ||
operations only. | ||
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To slightly mitigate this limitation and be able to use the algorithm, we need to eliminate as many nondeterministic operations as possible. To achieve this, nondeterministic | ||
operations have to be unfolded: they are replaced with all their possible deterministic | ||
counterparts. For the nondet operations of `xsts`, this can be seen in the `XstsNormalizerPass` pass object. | ||
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Another limitation of the original algorithm in our context is that Theta is working with | ||
possibly infinite domains, for which m could also potentially evaluate to infinite. To have a | ||
chance to avoid these infinite unwindings, it is worth noting that counting all the concrete | ||
states allowed by the abstract states in the loop is an overapproximation of the number | ||
of all possible different states the concrete loop can reach. If a variable is included in only | ||
such assignments (or no assignments at all) where the expression contains only literals, | ||
that variable has a fixed value throughout the loop. That means, for such variables, just | ||
one unwinding is enough. | ||
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To find all the variables that contribute towards the needed number of unwindings, `VarCollectorStatementVisitor` is used. | ||
![]() | ||
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Since infinite bounds can | ||
still be encountered, there is a configurable maximum for the bound. If m would be greater | ||
than that, the refiner falls back to the default concretizer algorithm, which is Milano in the current implementation. |
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## Overview | ||
This package contains classes and objects related to CLIs that allow LTL model checking. For now it only contains a helper class | ||
that is an implementation of the Clikt's package OptionGroup. This option group allows the user to select from the available | ||
loopchecker and loop refinement strategies. |
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## Overview | ||
This project has two main purposes. The `hu.bme.mit.theta.common.cfa.buchi` package is used to convert properties specified | ||
in the LTL language to Buchi automata as CFA. The `hu.bme.mit.theta.common.ltl` package contains a SafetyChecker that | ||
is able to perform LTL based model checking on any formalism. | ||
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## Converting LTL to Buchi automaton | ||
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The main job is done by implementations of the `Ltl2BuchiTransformer` interface. This accepts an LTL formula and | ||
produces a Buchi automaton in Theta representation. The current implementation `Ltl2BuchiThroughHoaf` does the following: | ||
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1. Preprocess the input LTL expression by substituting complex expressions with atomic propositions | ||
2. Call a `Ltl2Hoaf` converter that produces the Buchi automaton in the [Hanoi Omega-Automata Format](https://adl.github.io/hoaf/) | ||
3. Use the `BuchiBuilder` object to read the HOAF string and generate a CFA | ||
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![](ltl_conversion_pipeline.jpg) | ||
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### Preprocessing | ||
Linear Temporal Logic works with atomic propositions, i.e. variables and expressions can only be of type boolean. | ||
In align to this, most tools won't accept complex formulae, like `F(x == 9)`, i.e. _x is eventually going to become 9_. | ||
To support such expressions, a preprocessing step is implemented. The entry point is in the `ToStringVisitor` class. | ||
This class creates a new, now valid LTL expression with only atomic propositions, and provides a mapping from these | ||
propositions to the original expressions. In our previoues example, the result could be `F p0`, and the mapping would contain | ||
`p0 -> x == 9`. | ||
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### The purpose of [Hanoi Omega-Automata Format](https://adl.github.io/hoaf/) in the implementation | ||
Since there were no tools or libraries that could have been linked due to licensing issues, it was required | ||
to support calling external tools. HOAF is a standard that has many advantages for us: | ||
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* It's widely accepted and adopted by most of the tools related to LTL manipulation | ||
* It's a rather stable but still maintained standard | ||
* There is a library which is now included with theta that provides interfaces to work with HOAF | ||
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This allows the end-user to use any tool for the conversion they'd like. They only need to provided a command that runs on their system | ||
and when the `ExternalLtl2Hoaf` runs it by appending the processed LTL formula after it, returns a Buchi automaton in the HOA format. | ||
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The recommended tools are [Spot](https://spot.lre.epita.fr/) and [Owl](https://owl.model.in.tum.de/). | ||
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### Why CFA? | ||
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Implementing Buchi automaton from scratch would have resulted in a lot of duplicate code with the already existing CFA class. | ||
For this reason, CFA is now extended with optional accepting states or edges. Such CFA can perfectly model a Buchi automaton. | ||
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Of course, it would be more desirable, to have a common automaton superclass for CFA and a new Buchi automaton, but this was | ||
not in scope for the project that developed these packages. | ||
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### Automated testing of LTL checking | ||
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Running external tools during automated testing such as in the CI/CD processes is not that feasible in the case of Theta. | ||
For various reasons, our tests run on many different platforms. Running the above recommended programs during these tests | ||
would result in a maintenance nightmare: | ||
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* The tools would need to be installed on all runner images | ||
* Since most of them are only distributed for linux, calling them would require to be different on different operating systems | ||
* For example, on windows you might use `WSL`, but the command `wsl` would of course fail on a linux system | ||
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For this reason, testing is done with another implementation of `Ltl2Hoaf`. `Ltl2HoafFromDir` is a class that expects | ||
a directory as a parameter. Than when called with an LTL formula, encodes the formula to URL and looks up the resulting | ||
filename.hoa in the directory. | ||
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### Architecture | ||
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The above interfaces and objects form the following architecture: | ||
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![](ltl2buchi.jpg) | ||
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## LTL checking | ||
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In the ltl package there is a single class the `LtlChecker`. This is a subclass of the safety checker, so it can fit | ||
into most CLI algorithms easily. It uses the conversion mechanisms to create a Buchi automaton. Then uses the | ||
`hu.bme.mit.theta.analysis.multi` package to create a product of this buchi automaton and the model that needs to | ||
be checket. Finally it simply constructs a loopchecker abstractor and refiner, than builds | ||
a `CegarChecker` with them. | ||
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For the details of the model checking algorithms, look at the `hu.bme.mit.theta.analysis.algorithm.loopchecker` package | ||
in the common analysis subproject. |
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