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. firstly we thank all those that through the years have actively contributed
to shaping the radical software program layout and research technique defined during this ebook. they're too quite a few to be pointed out right here. all of them look in a roundabout way or the opposite at the following pages, specifically within the bibliographical
and old Chap. nine which might be learn independently of the e-book. We then thank those that have helped with specific serious reviews at the draft chapters to form the best way our arguments are awarded during this publication: 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 scholar generationsat Universita `di Pisa. We thankM. Barmet(ETH Zur ¨ ich)for her recommendations of the routines in Chap. 8.
We additionally thank L.
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Extra resources for Abstract state machines..A method for high-level system design and analysis
The search for postulates from which to prove the ASM thesis (see Sect. 2) led to a distinction between so-called sequential ASMs (with only fixed amount of computation power per step and only bounded synchronous parallelism),24 and synchronous parallel and distributed ASMs. Instead of such a classification in terms of the underlying logic, we follow practical system design criteria, where for a specification the distinctive features are whether the system to be described has one or more agents.
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 , . . , τm , where each τi represents a single M -step, and of corresponding refined computation segments σ1 , . . e. pairs of (possibly sets of) locations one wants to relate in corresponding states, where locations represent abstract containers for data (see the definition of ASM locations below), – the notion the of equivalence ≡ of the data in the locations of interest; these local data equivalences usually accumulate to the notion of the equivalence of corresponding states of interest.
7 Control state ASM for SpecC pipe statements init Init filling FillLoop(cond,Incr,p 1 ... p n ) yes running cond advance stm no Spawn(p 1 ... p n ) seq Incr FlushLoop(p 1 ... p n ) finished cond flushing no yes Fig. 8 Opposite conditions in control state ASMs yes cond i no rule 2 rule 1 j1 if ctl state = i then if cond then rule1 ctl state := j1 else rule2 ctl state := j2 j2 or UML notation where the control states appear as named directed arcs (arrows) or as unnamed arcs. The former notation, which is common in automata theory, helps to visually distinguish the role of control states – to “pass control” – from that of ASM rules, which describe the update “actions” concerning the underlying data structure and are inscribed into rectangles, often separated from the rule guards which are written into rhombs or hexagons labeling the arcs outgoing the control states as in Fig.