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 can be where to precise our thank you. to begin with we thank all those that through the years have actively contributed
to shaping the unconventional software program layout and research approach defined during this booklet. they're too quite a few to be pointed out right here. all of them look ultimately or the opposite at the following pages, specifically within the bibliographical
and historic Chap. nine which are learn independently of the publication. We then thank those that have helped with specified serious reviews at the draft chapters to form the way in which our arguments are provided during this e-book: M. B¨
orger (Diron Mu ¨nster), I. Craggs (IBMHursley),G. DelCastillo(SiemensMunc ¨ hen),U. Gl¨ asser(SimonFraser collage, 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 pupil generationsat Universita `di Pisa. We thankM. Barmet(ETH Zur ¨ ich)for her ideas of the workouts in Chap. 8.
We additionally thank L.

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Extra info for Abstract state machines..A method for high-level system design and analysis

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Par Rn for an ASM consisting of the set {R1 , . . , Rn } of rules Ri . This is why we consider a set of rules and the par-composition of all these rules as the same machine. We freely use common abbreviations and standard variations of notations where convenient and without risk of misunderstanding. For example we often express the range of the quantifiers by usual set notation or by a mixture of set and property notation, where X stands for a set: choose x ∈ X with ϕ R Similarly, we freely use combinations of where, let, if-then-else, etc.

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 .

2, we illustrate here the scheme for an ASM refinement step, which generalizes the more restricted refinement notions in the literature. The scheme can also 19 For an illustration of this maintenance feature see the use of ASMs in the industrial re-engineering project reported in [121]. The report is available also as a powerpoint slide show in Falko (❀ CD). e. the pairs of states in the runs one wants to relate through the refinement, including usually the correspondence of initial and (if there are any) of final states, – the notion of abstract computation segments τ1 , .

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