the mcrl2 toolset
DESCRIPTION
The mCRL2 toolset. Jan Friso Groote, Jeroen Keiren , Wieger Wesselink , Sjoerd Cranen , Frank Stappers , (many others) 4S100 – Verification of discrete- event systems Eindhoven, The Netherlands October 17, 2011. Introduction. Analysis techniques. - PowerPoint PPT PresentationTRANSCRIPT
The mCRL2 toolset
Jan Friso Groote, Jeroen Keiren, Wieger Wesselink,Sjoerd Cranen, Frank Stappers, (many others)
4S100 – Verification of discrete-event systemsEindhoven, The NetherlandsOctober 17, 2011
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INTRODUCTION
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Analysis techniques
• Analysis techniques used in hardware/software development: • Structural analysis: what things are in the system− Class diagrams (software) − CAD-models (hardware)− PCB design (electronic circuits)
• Behavioral analysis: what happens in the system − Matlab simulink models− Message sequence charts − Petri nets − Process algebra − Temporal logic...
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Behavioral analysis
• What is behavioral analysis about? • Modeling:− Create an abstract model of the behavior
• Validation and Verification:• Validation: does the model roughly behave as expected? − Simulation, testing
• Verification: does the model satisfy the requirements in all states?− Modelchecking, SAT solving, theorem proving
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Behavioral analysis
Why modeling? To reduce complexity:• Direct verification of software/hardware system is
impossible due to the huge number of states.• Much more complex than e.g. Rubik’s cube:
43,252,003,274,489,856,000 (4.3 * 10 19) states
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Behavioral analysis
From our experience: • Without proper modeling it is impossible to get a system
right.• Implementing a model does not introduce substantial flaws.• Modeling an implementation nearly always reveals flaws or
ambiguities.
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100%(and this is even true for our language)
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Toolsets for behavioral analysis
For verification of industrial systems, tool support is essential. Toolsets for modeling, validation and verification of behavior: • CADP (INRIA Rhone Alpes, France) • SPIN (Bell Labs, USA) • FDR (Formal Systems Limited, Oxford, UK) • Uppaal (Uppsala University, Sweden) • NuSMV (Carnegie Mellon University, USA) • mCRL2 (MDSE group / LaQuSo, TU/e)• ...
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mCRL2 toolset overview - History
•
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1990 2000 2010
now
Common Representation Language (CRL)
micro Common Representation Language (μCRL)
micro Common Representation Language 2 (mCRL2)
2004
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mCRL2 toolset overview – General Information
• The mCRL2 toolset can be used for the specification, validation and verification of concurrent systems and protocols.
• Collection of tools • Available for the following platforms:
• Microsoft Windows • Linux (Ubuntu/openSUSE/Fedora)• Mac OS X
• Distributed under the Boost license • Available at http://mcrl2.org
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Toolset overview
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Success stories
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MODELING
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Actions
• The behavior of a process is that which we can observe. • Observable behavior and observing behavior can be
expressed in terms of actions.
• Example:• A lamp has to shine in order for us to see that it is on. • We have to look at a lamp to see that it is shining.
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Labeled Transition Systems
• A labeled transition system is a basic formalism for describing behavior.
• Also known as labeled directed graphs or state spaces. • Labels represent discrete events, also called actions.
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Formal definition:A labeled transition system is a tuple (S, L, →, s, T ) where: S is a set of statesL is a set of labels → ⊆ S × L × S is a transition relation s S∈ is the initial state T S⊆ is the set of terminating states
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Labeled Transition Systems
• Example: Ordering items
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Basic process algebra
A process with name ∈ is defined as
P can be of the following form:• An action (a Act) ∈• Sequential composition • Alternative composition• Recursion (Y ∈ ) • The deadlock process• Internal/hidden action
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Basic process algebra
• Relating algebra to LTSs
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Basic process algebra - Ordering items
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Parallel composition
• can be of the following form: • Parallel composition • Communication merge
• This gives rise to multi-actions (Act*):• multi-action
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a || b a | b
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Parallelism
• Process specification
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Parallelism
• Corresponding LTS
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Communication
Three operators for communication:• Communication (Act∗ × Act)• Encapsulation [block] (Act) • Allow (Act∗)Explanation:•
• renames multi-action a|b to c•
• blocks all actions in the set B•
• blocks multi-actions different from the ones in A
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Communication
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• Specification:
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Processes with data
• Why data?• In real-life systems data is essential • Data allows for finite specifications of infinite systems
• Examples:• Represent non-functional properties, e.g. color of a traffic light.• Capture information streams, e.g. communication of
information• Manipulation, e.g. mathematical functions. • ...
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Processes with data
• All sorts
• Basic sorts
• Container sorts
• Functions:
• Structured sorts:
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Processes with data
• Data specification• Sort declarations• Constructors (for creating user defined data types)• Mappings
• Example – compute the sum over a list of values:
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Processes with Data
• BNF:
• Examples• Data parameterized action:• Data parameterized process:• Conditions:• Summation:
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Processes with Data
• Summation:• Short hand notation for choice• over a domain of values:
a(0)+a(1)+...+a(N-1)+a(N)
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∞
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• Process specification
An odd-max-5-counter
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filter counter
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Tool demo:mCRL2-guimCRL22lps
lps2ltsltsgraph
An odd-max-5-counter
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filter counter
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Verification
• How to ensure that…• no deadlock?• counter does not exceed value X?• an input (r1) is always followed by an output (s3)?
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filter counter
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VERIFICATION
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Verification
Model checking is an automated verification method. It can be used to check functional requirements against a model.• A (software or hardware) system is modeled in mCRL2 • The requirements are specified as properties in a temporal
logic• A model checking algorithm decides whether the property
holds for the model.
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Temporal logic used within mCRL2:μ-calculus with data, time and regular expressions
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Temporal logic
• Idea of μ-calculus: add fixed point operators (i.e. recursion) as primitives to standard Hennessy-Milner logic• μ-calculus is very expressive (subsumes e.g. CTL )∗• μ-calculus is very pure• drawback: lack of intuition
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μ-calculus LTL CTL
CTL*
UPPAAL
mCRL2
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A flavor of μ-calculus
• Hennessy-Milner logic: proposition logic with modalities:
• Notation: : state of a transition system satisfies formula
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For all states s: s trueFor no state s: s false
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A flavor of μ-calculus
• Hennessy-Milner logic: proposition logic with modalities:
• Notation: : state of a transition system satisfies formula
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s [a]phi holds in a state s if every a-labeled transition leading out of s leads to a state where phi holds
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A flavor of μ-calculus
• Hennessy-Milner logic: proposition logic with modalities:
• Notation: : state of a transition system satisfies formula
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s <a>phi holds in a state s if any a-labeled transition leading out of s leads to a state where phi holds
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A flavor of μ-calculus
Example:Determine the largest set of states S that satisfy:
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S [b]falseS [a][b]trueS <a>true
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A flavor of μ-calculus
mCRL2 extends HM logic with regular expressions:
Explanation:• R.R concatenation• R+R choice• R* match R zero times or more• R+ match R once or more
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A flavor of μ-calculus
Example:Determine the largest set of states S that satisfy:
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S [b+a]falseS [a.b.c]falseS <a.a.b+a.a.a>trueS <a*>trueS <a+>trueS [a*.b]false
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An odd-max-5-counter verification
• How to ensure that…• no deadlock?
[true*]<true>true• counter does not exceed value X?
[true*.s3(X)]false• an input (r1) is always followed by an output (s3)?
[true*.r1’.(!s3’)*]<(!s3’)*.s3’>true
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filter counter
r1’,s3’ actions with eliminated data parameters
action wildcard
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Tool demo:mCRL2-guilps2pbes
pbes2bool(lpsactionrename)
An odd-max-5-counter verification
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filter counter
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CASE STUDY
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HEF system
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• Modular HEF system• Levers (≥ 2) are connect to• Relays connect levers• Messages are sent over CAN-bus• Relays control `length’ of the bus
• Occasionally nonresponsive levers• What is wrong?• Something in the design?
• Time for model-checking!
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HEF system – full model (6 levers)
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We focus on initialization
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HEF system - initialization
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1
4
2
3
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Simplified HEF system
• Assumptions:• Good weather-behavior• Initialization only!• No up- and down movement• Modular design
• Simplified model:• User (#1)• Relays (#3)• Levers (#3)
• Every process has a physical position (used for identification)
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Simplified HEF system – User process
User process• User is attached to lever pos• Press “start”
• Send send_start message to attached lever• Notification: “Found n levers”
• recv_found message contains the n found levers
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Simplified HEF system – Relay process
Relay process:• Relay can be Open or Closed
• Relay has a position between two levers and an open status:
• Opening/closing relay:
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Simplified HEF system – Relay process
• Re-tweeting of message IDs
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Simplified HEF system – Lever process
• Lever process• Lever has a position pos and an ID (0 if uninitialized)
• Update ID if uninitialized
• If we get an ID and our ID is initialized we report to user
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Simplified HEF system – Lever process
• Open relay
• Close relay
• Sent current ID
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Simplified HEF system – Modeled system
• System decomposition
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Simplified HEF system – Analysis
Some properties checked:• No Deadlock:
[true*]<true>true• We know that we modeled 3 levers, so 3 levers detected?
<true*.found(3)>true• Finding only 2 levers would be stupid:
[true*.found(2)]false
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?
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Simplified HEF system – The bug…
• So what’s happing?start(0)ID_to_relay(0, 1)ID_from_relay(1, 1)ID_to_relay(1, 2)ID_from_relay(0, 2)found(2)
• Problem: Process ID==1 gets ID from process ID==2 before the relay is closed!
• Similar problem in the actual system: old relays did not close in time
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Solved the day (again)
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Summary
• The mCRL2 toolset:• facilitates many kinds of system behavior analysis• can be used to:− detect errors in the design − prevent errors already in the design
• Small introduction, mCRL2 has many more features:• Functional programming in data specifications• Optimization with linear process specifications• State space reduction techniques• Checking for behavioral equivalence • Parameterized Boolean Equations Systems to solve properties• Solving Parity Games• Export to other (analysis) toolsets/formats• ….
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