Promela. PROMELA (Process or Protocol Meta Language) is a verification modeling language introduced by Gerard J. Holzmann. The language allows for the dynamic creation of concurrent processes to model, for example, distributed systems. In PROMELA models, communication via message channels can be defined to be synchronous (i.e., rendezvous), or asynchronous (i.e., buffered). PROMELA models can be analyzed with the SPIN model checker, to verify that the modeled system produces the desired behavior. An implementation verified with Isabelle/HOL is also available, as part of the Computer Aided Verification of Automata (CAVA) project. Files written in Promela traditionally have a .pml file extension.

Introduction
PROMELA is a process-modeling language whose intended use is to verify the logic of parallel systems. Given a program in PROMELA, Spin can verify the model for correctness by performing random or iterative simulations of the modeled system's execution, or it can generate a C program that performs a fast exhaustive verification of the system state space. During simulations and verifications, SPIN checks for the absence of deadlocks, unspecified receptions, and unexecutable code. The verifier can also be used to prove the correctness of system invariants and it can find non-progress execution cycles. Finally, it supports the verification of linear time temporal constraints; either with Promela never-claims or by directly formulating the constraints in temporal logic. Each model can be verified with SPIN under different types of assumptions about the environment. Once the correctness of a model has been established with SPIN, that fact can be used in the construction and verification of all subsequent models.

PROMELA programs consist of processes, message channels, and  variables. Processes are global objects that represent the concurrent entities of the distributed system. Message channels and variables can be declared either globally or locally within a process. Processes specify behavior, channels and global variables define the environment in which the processes run.

Language reference

Data types 
The basic data types used in PROMELA are presented in the table below. The sizes in bits are given for a PC i386/Linux machine.

The names  and  are synonyms for a single bit of information. A  is an unsigned quantity that can store a value between 0 and 255. s and s are signed quantities that differ only in the range of values they can hold.

Variables can also be declared as arrays. For example, the declaration:

declares an array of 10 integers that can be accessed in array subscript expressions like:
 x[0] = x[1] + x[2];
But the arrays can not be enumerated on creation, so they must be initialised as follows:

The index to an array can be any expression that determines a unique integer value. The effect of an index outside the range is undefined. Multi-dimensional arrays can be defined indirectly with the help of the  construct (see below).

Processes
The state of a variable or of a message channel can only be changed or inspected by processes. The behavior of a process is defined by a  declaration. For example, the following declares a process type  with one variable state:

The  definition only declares process behavior, it does not execute it. Initially, in the PROMELA model, just one process will be executed: a process of type init, that must be declared explicitly in every PROMELA specification.

New processes can be spawned using the run statement, which takes an argument consisting of the name of a , from which a process is then instantiated. The run operator can be used in the body of the  definitions, not only in the initial process. This allows for dynamic creation of processes in PROMELA.

An executing process disappears when it terminates—that is, when it reaches the end of the body in the  definition, and all child processes that it started have terminated.

A proctype may also be active (below).

Atomic construct
By prefixing a sequence of statements enclosed in curly braces with the keyword , the user can indicate that the sequence is to be executed as one indivisible unit, non-interleaved with any other processes.

Atomic sequences can be an important tool in reducing the complexity of verification models. Note that atomic sequences restrict the amount of interleaving that is allowed in a distributed system. Intractable models can be made tractable by labeling all manipulations of local variables with atomic sequences.

Message passing
Message channels are used to model the transfer of data from one process to another. They are declared either locally or globally, for instance as follows:

This declares a buffered channel that can store up to 16 messages of type  (capacity is 16 here).

The statement:

 qname ! expr;

sends the value of the expression  to the channel with name , that is, it appends the value to the tail of the channel.

The statement:

 qname ? msg;

receives the message, retrieves it from the head of the channel, and stores it in the variable msg. The channels pass messages in first-in-first-out order.

A rendezvous port can be declared as a message channel with the store length zero. For example, the following:

defines a rendezvous port that can pass messages of type . Message interactions via such rendezvous ports are by definition synchronous, i.e. sender or receiver (the one that arrives first at the channel) will block for the contender that arrives second (receiver or sender).

When a buffered channel has been filled to its capacity (sending is "capacity" number of outputs ahead of receiving inputs), the default behavior of the channel is to become synchronous, and the sender will block on the next sending. Observe that there is no common message buffer shared between channels. Increasing complexity, as compared to using a channel as unidirectional and point to point, it is possible to share channels between multiple receivers or multiple senders, and to merge independent data-streams into a single shared channel. From this follows that a single channel may also be used for bidirectional communication.

Control flow constructs
There are three control flow constructs in PROMELA. They are the case selection, the repetition and the unconditional jump.

Case selection
The simplest construct is the selection structure. Using the relative values of two variables  and , for example, one can write:

The selection structure contains two execution sequences, each preceded by a double colon. One sequence from the list will be executed. A sequence can be selected only if its first statement is executable. The first statement of a control sequence is called a guard.

In the example above, the guards are mutually exclusive, but they need not be. If more than one guard is executable, one of the corresponding sequences is selected non-deterministically. If all guards are unexecutable, the process will block until one of them can be selected.  (Opposite, the occam programming language would stop or not be able to proceed on no executable guards.)

The consequence of the non-deterministic choice is that, in the example above, if A is true, both choices may be taken. In "traditional" programming, one would understand an  structure sequentially. Here, the if – double colon – double colon must be understood as "any one being ready" and if none is ready, only then would the  be taken.

In the example above, value is non-deterministically given the value 3 or 4.

There are two pseudo-statements that can be used as guards: the timeout statement and the  statement. The timeout statement models a special condition that allows a process to abort the waiting for a condition that may never become true. The  else statement can be used as the initial statement of the last option sequence in a selection or iteration statement. The  is only executable if all other options in the same selection are not executable. Also, the  may not be used together with channels.

Repetition (loop)
A logical extension of the selection structure is the repetition structure. For example:

describes a repetition structure in PROMELA. Only one option can be selected at a time. After the option completes, the execution of the structure is repeated. The normal way to terminate the repetition structure is with a  statement. It transfers the control to the instruction that immediately follows the repetition structure.

Unconditional jumps
Another way to break a loop is the  statement. For example, one can modify the example above as follows:

The  in this example jumps to a label named done. A label can only appear before a statement. To jump at the end of the program, for example, a dummy statement  is useful: it is a place-holder that is always executable and has no effect.

Assertions
An important language construct in PROMELA that needs a little explanation is the  statement. Statements of the form:

 assert(any_boolean_condition)

are always executable. If a boolean condition specified holds, the statement has no effect. If, however, the condition does not necessarily hold, the statement will produce an error during verifications with SPIN.

Complex data structures
A PROMELA  definition can be used to introduce a new name for a list of data objects of predefined or earlier defined types. The new type name can be used to declare and instantiate new data objects, which can be used in any context in an obvious way:

The access to the fields declared in a  construction is done in the same manner as in C programming language. For example:

 MyStruct x;
 x.Field1 = 1;

is a valid PROMELA sequence that assigns to the field  of the variable  the value .

Active proctypes
The  keyword can be prefixed to any  definition. If the keyword is present, an instance of that proctype will be active in the initial system state. Multiple instantiations of that proctype can be specified with an optional array suffix of the keyword. Example:

Executability
The semantics of executability provides the basic means in Promela for modeling process synchronizations.

In the example, the two processes P1 and P2 have non-deterministic choices of (1) input from the other or (2) output to the other. Two rendezvous handshakes are possible, or executable, and one of them is chosen. This repeats forever. Therefore, this model will not deadlock.

When Spin analyzes a model like the above, it will verify the choices with a non-deterministic algorithm, where all executable choices will be explored. However, when Spin's simulator visualizes possible non-verified communication patterns, it may use a random generator to resolve the "non-deterministic" choice. Therefore, the simulator may fail to show a bad execution (in the example, there is no bad trail). This illustrates a difference between verification and simulation.
In addition, it is also possible to generate executable code from Promela models using Refinement.

Keywords
The following identifiers are reserved for use as keywords.

References

External links
Spin homepage
Spin Tutorials and Online References
Concise Promela Reference
Computer Aided Verification of Automata: "The CAVA Project" (2010-2019) and "Verified Model Checkers" (2016-curr) website

Specification languages
Model checkers