Overall Objectives
Application Domains
New Software and Platforms
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
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## Section: New Results

### Component-Based Architectures for On-the-Fly Verification

#### Compositional Verification

Participants : Frédéric Lang, Radu Mateescu.

The CADP toolbox contains various tools dedicated to compositional verification, among which EXP.OPEN, BCG_MIN, BCG_CMP, and SVL play a central role. EXP.OPEN explores on the fly the graph corresponding to a network of communicating automata (represented as a set of BCG files). BCG_MIN and BCG_CMP respectively minimize and compare behavior graphs modulo strong or branching bisimulation and their stochastic extensions. SVL (Script Verification Language) is both a high-level language for expressing complex verification scenarios and a compiler dedicated to this language.

In 2019, in addition to small bug corrections, we updated SVL to support version 5 of EVALUATOR, and we corrected a semantic bug in the expansion of meta-operators of SVL.

In collaboration with Franco Mazzanti (ISTI-CNR, Pisa, Italy), we also used the compositional verification tools of CADP in the framework of the RERS'2019 challenge (http://rers-challenge.org/2019), which consisted in verifying 180 LTL properties and 180 CTL properties on large models of concurrent systems having up to 70 concurrent processes and 234 synchronization actions.

We applied to these examples the maximal hiding technique  [48], which consists in hiding in the model all actions that are not necessary to verify the property. We combined this technique with compositional minimization (using the smart reduction heuristic implemented in SVL) as follows:

• In a first attempt, we used the technique consisting in applying minimization modulo either strong bisimulation or divbranching (divergence-preserving branching) bisimulation, depending on the fragment of the modal $\mu$-calculus to which the formula belongs, as proposed in  [48]. This was more efficient than non-compositional verification on large models, but not sufficient to verify all RERS problems successfully.

• We then proposed a refinement of this approach, which consists in (1) partitioning the actions of the system to be verified into so-called strong and weak actions, depending on the formula, and (2) minimizing modulo divbranching bisimulation all processes and process compositions containing weak actions only. This is an improvement over the previous technique, since divbranching bisimulation can be used to minimize some processes of the system even though the formula does not belong to the fragment of the $\mu$-calculus adequate with divbranching bisimulation (which corresponds to formulas with an empty set of strong actions). This new technique allowed us to verify a lot more problems successfully, but still letting a few of the largest RERS problems unresolved. We published a paper describing the approach in an international conference [23].

• At last, we designed a new bisimulation relation, named sharp bisimulation, parameterized by the strong actions of the system, and we implemented a prototype tool that reduces a behavior graph modulo this relation. Sharp bisimulation parameterized by a set $S$ of strong actions is weaker than strong bisimulation, stronger than divbranching bisimulation, and adequate with formulas whose strong actions are included in $S$. Such a fine-tuning of the bisimulation relation by strong actions allowed us to verify all RERS problems successfully and to win the 2019 challenge. A paper describing the approach was accepted for publication in an international conference.

#### Other Component Developments

Participants : Hubert Garavel, Frédéric Lang, Philippe Ledent, Radu Mateescu, Wendelin Serwe.

In 2019, several components of CADP have been improved as follows:

• We enhanced the TESTOR tool by adding the possibility to interact with an SUT (System Under Test) using its standard input and output.

• We enhanced the XTL compiler with a function converting a transition label into a string (useful for handling the entire content of the label), and we also corrected three bugs.

• We enhanced MCL_EXPAND 5 with a better detection of nondeterminism in probabilistic formulas and a vacuity check for infinite looping operators, and we also corrected a semantic bug.

• We enhanced EVALUATOR 5 with more explanative messages about the assignment of probabilities to transitions, and we corrected two bugs in each of the tools EVALUATOR 4 and 5.

• The C code generated by CAESAR has been modified to suppress GCC 6.5 warnings.

• Several changes have been brought to CADP to enable its use on new platforms, including macOS 10.15 "Catalina" and the forthcoming Debian 10.0 Linux distribution. Various bugs specific to Linux and SunOS systems (Solaris or Illumos/OpenIndiana) have been fixed.