By Egon Börger, Robert Stärk
This booklet combines the positive factors of a textbook and a guide Researchers will locate right here the main accomplished description of ASMs to be had this present day and execs will use it as a "modeling guide of the operating software program engineer. As a textbook it helps self-study or it may shape the foundation of a lecture direction.
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Additional resources for Abstract state machines: A method for high-level system design and analysis
Vn ) in the next state. Such pairs of a function name f , which is fixed by the signature, and an optional argument (v1 , . . , vn ), which is formed by a list of dynamic parameter values vi of whatever type, are called locations. 25 Location-value pairs (loc, v ) are called updates and represent the basic units of state change. This abstract understanding of memory and memory update allows the designer to combine the operational nature of the concepts of location and update with the freedom of tailoring them to the level of abstraction which is appropriate for the given design or analysis task, namely when defining the machine state.
35 When there are no updates made by the environment or when no confusion is to be expected, we identify the next internal state with the next state (formally one may consider this as assuming that the external updates provided by the environment are executed simultaneously with the updates computed by the machine). 4 ASM Modules In this section we outline a standard module concept to syntactically structure large ASMs. The module interface for the communication with other modules is described by import and export clauses.
The rule of survival describing the behavior of a single cell states that a cell with 3 alive neighbors gets (or remains) alive, whereas a cell with less than 2 or more than 40 2 ASM Design and Analysis Method 3 alive neighbors dies. We represent this rule using an abstract predicate alive on Cell together with a derived function aliveNeighb: Cell → N (not specified further here) which indicates for each cell the number of its alive neighbors. Then the rule of the game for a cell c is expressed by the following ASM: Conway(c) = if aliveNeighb(c) = 3 then alive(c) := true if aliveNeighb(c) < 2 or aliveNeighb(c) > 3 then alive(c) := false Now, in every state of their life, all the cells are supposed to execute their life rule simultaneously, all in the same state, never mind the topology and the finite cardinality of Cell (which may be imagined also as a dynamic set).
Abstract state machines: A method for high-level system design and analysis by Egon Börger, Robert Stärk