Read e-book online Abstract state machines..A method for high-level system PDF

By Egon Börger, Robert Stärk

Quelli che s'innamoran di pratica senza scienzia sono come 'l nocchieri ch'entra in navilio sanza timone o bussola, 1 che mai ha certezza dove si vada. - Leonardo da Vinci Ich habe oft bemerkt, dass wir uns durch
allzuvieles Symbolisieren 2 die Sprache fu ¨r die Wirklichkeit untu ¨chtig machen. - Christian Morgenstern this is often where to specific our thank you. to begin with we thank all those that through the years have actively contributed
to shaping the radical software program layout and research process defined during this booklet. they're too quite a few to be pointed out the following. all of them look indirectly or the opposite at the following pages, particularly within the bibliographical
and ancient Chap. nine that are learn independently of the ebook. We then thank those that have helped with particular serious reviews at the draft chapters to form the way in which our arguments are offered during this ebook: M. B¨
orger (Diron Mu ¨nster), I. Craggs (IBMHursley),G. DelCastillo(SiemensMunc ¨ hen),U. Gl¨ asser(SimonFraser college, Vancouver,Canada),J. Huggins(Kettering University,Michigan, USA), B. Koblinger (IBM Heidelberg), P. Pa
¨ppinghaus (Siemens Munc ¨ hen), A. Preller (Universit´ e de Montpellier, France), M. -L. Potet (INP de Gre- ble, France),W. Reisig (Humboldt-Universit¨ at zu Berlin, Germany),H. Rust (Universit¨ at Cottbus, Germany), G.
Schellhorn (Universit¨ at Augsburg, G- many), B. Thalheim (Universit¨ at Cottbus, Germany) and a dozen scholar generationsat Universita `di Pisa. We thankM. Barmet(ETH Zur ¨ ich)for her options of the routines in Chap. 8.
We additionally thank L.

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Example text

When it is convenient to have also a textual representation besides the graphical one, we use the following translation. Fsm(i , if cond then rule, j ) = if ctl state = i and cond then {rule, ctl state := j } Using this notation the textual representation of the rule in Fig. 5 becomes the set of rules Fsm(i , if condk then rulek , jk ) for k = 1, . . , n. If in ctl state = i the cond ition is not satisfied (and if there is no other rule for this control state), then what is often called a persistent if-then is realized: the machine remains in ctl state = i until cond becomes true, in which case the machine proceeds to ctl state = j .

We assume that there are no name clashes in these signatures. The body of an ASM module consists of declarations (definitions) of functions and rules decl1 . . decln axioms and may include also axioms expressing constraints one wants to assume for some of these functions or rules. An ASM is then a module together with an optional characterization of the class of initial states and with a compulsory additional (the main) rule. We write ASMs in the same way as modules with MODULE replaced by ASM ; the name of the ASM is used also as the name of the main rule.

Partial functions are turned into total functions by interpreting f (x ) = undef with a fixed special value undef as f (x ) being undefined. The reader who is not familiar with this notion of structure may view a state as a “database of functions” (read: a set of function tables) instead of predicates. 25 26 One may imagine functions as represented by tables. Then a location is a table entry and an update describes an update of the value residing in the table entry. In fact ASMs provide a precise and simple foundation for the different forms of Parnas tables; see Sect.

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Abstract state machines..A method for high-level system design and analysis by Egon Börger, Robert Stärk


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