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Prof. Dr. Holger Schlingloff

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1 Formale Methoden der Systemspezifikation Logische Spezifikation von Hard- und Software
Prof. Dr. Holger Schlingloff Institut für Informatik der Humboldt Universität und Fraunhofer Institut für Rechnerarchitektur und Softwaretechnik

2 Aufbau der Veranstaltung
Blockkurs „Algebraische Spezifikation von Software und Hardware“ Dr. Markus Roggenbach, Univ. Swansea voraussichtlich und (n.V.) wie im SS2007 (VL & Ü) Vorlesung (2SWS) „Logische Spezifikation“ diese Veranstaltung Übungsaufgaben zur VL Dipl. Inf. Jan Calta, CZ Bearbeitung zum Bestehen der Prüfung essentiell

3 Lernziele Kenntnisse über formale Spezifikationsmethoden zur Festlegung der Funktion von Systemen Historische Entwicklung, Stärken/Schwächen, Möglichkeiten und Grenzen Fähigkeiten, diese für praktische Anwendungen einsetzen zu können Spielbeispiele / realistische Systeme industrielles Interesse (vgl. IEC61508) Umgang mit formalen Werkzeugen Checker, Prover, Transformatoren, …

4 Einordnung praktische Informatik
Spezifikation ist Teil der Systementwicklung Bezug zur theoretischer Informatik Verwandtes Modul: „Methoden und Modelle des Systementwurfs“ (W. Reisig) Fokus: hier Spezifikation, dort Modellierung fließende Übergänge, aber kaum Überlappung Methodenwissen ähnlich Weitere Bezüge Modellbasierte Softwareentwicklung (J. Fischer) Logik, Spiele und Automaten (M. Grohe)

5 weitere Ankündigungen
Einschreibung in GOYA? Studien- und Diplomarbeiten Jobs bei FIRST Sokrates-Austausch mit Folien in Englisch?

6 Definition of Terms System = „something composed“, i.e., everything
here only: computational system (SW/HW) computation = transformation or transport of information Specification = written description of a system „species facere“, making something visible can be informal or formal (we consider formal specs only) Formal = in a certain fixed appearance syntax, semantics, derivation Logic = principles of reasoning logos = word, thought, reason „logic“ can also denote a certain formal language

7 Specification of Systems
Should be one of the first activities in software development requirements  specification  modelling  module decomposition  implementation  integration  deployment Often neglected, mostly only informal Quality problems, acceptance problems Specification „a posteriori“

8 Motivation FIRST: “Understanding and mastering complex systems”
Examples: a video camera a car control unit a banking machine system a mobile phone communication protocol a fault tolerant computer for routing of trains an aircraft mission management system Understanding: Being able to describe what these systems are supposed to do Mastering: Being able to check whether they do what they are supposed to do  Understanding and mastering human behaviour?

9 A first example A new video camcorder (“DCR-PC330”)
owner's manual almost incomprehensible can be found in the internet typical for such devices Multifunctional on-off switch: up: off down: cycles through "tape", "memory" and "play/edit" mode Intuitively, tape mode is for video, memory mode for pictures and play mode for viewing recorded material

10 Transition system How can we formally describe the behaviour of this switch? (Natural language description is ambivalent: What does "cycle" mean? What if I push dn-dn-up-dn?) Modelling by finite transition system: States: {off, tape, memory, play} Transition relations: {up, dn} off memory tape play dn up

11 Hybrid logic An alternative way to describe this switch: modal theory (description logic T-Box) (For experts: additional axioms necessary, such as nondeterminism p -> []p) (For nonexperts: I assume you know about propositional logic) tape  dn memory  up off memory  dn play  up off play  dn tape  up off off  dn tape  [up] false

12 Modal logic Classical modal logic does not allow the use of state names. Boolean properties describing the states: (For experts: additional axioms necessary to inhibit impossible states) (For the experts: this is a boolean encoding with three propositions. In principle, two would be enough, since on  rec  dv ) {tape, memory, play}||- on off||-  on /* on = powered */ {tape, memory}||- rec {play, off}||- rec /* rec = can record */ {tape, play}||- dv {memory, off}||- dv /* dv = head spinning */ off ||-  on   rec   dv tape ||- on  rec  dv memory ||- on  rec   dv play ||- on   rec  dv

13 Signature: P={on, rec, dv}, R={up, dn} Language:
Some valid properties: rec  dv  on on  [up] on on  dn on dv  dn (dv  dn dv)

14 Unique description of the behaviour of this switch!?
Questions I might ask: in which state is the camcorder if I push dn-dn-up-dn? dndnupdn tape or dndnupdn (dv  rec) can I always switch it off? up on how long will it stay on if I don't? In practice, no spec is ever complete! power failure while on shuts system off, power resume brings it to “tape" mode

15 to model power failures, we have to distinguish between the state of the button (but_hi, but_lo) and the state of the camcorder (off, tape,...) off but_hi memory tape play dn up off but_lo pwr_fail pwr_resume

16 Every model abstracts from details
(e.g., there is a little green button within the switch which arrests it in the "off" position) A model is a means of communication between humans (designers, users, ...) Structuring the model as parallel hierarchical transition system gives a statechart / state machine diagram but_hi but_lo dn up off on dn, pwr_res up, pwr_fail memory tape play switch camera

17 The more concrete the formalism, the closer it is to an implementation
Such models can help in the development of complex systems ("model-driven design") The more concrete the formalism, the closer it is to an implementation executable code may be generated from state diagrams We might add additional information such as timing, communication, variables and such. Specification as opposed to modeling describes properties of the targeted system not aiming at a complete description of the system not aiming at the generation of executable code


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