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parameterized systems ?

Pas alFontaineandE. Pas alGribomont

UniversityofLiege(Belgium)

fpfontain,gribomontgmontefio re.ul g.a .be

Abstra t. The ontrol part of many on urrent and distributed

pro-gramsredu estoaset=fp1;:::;pngofsymmetri pro esses

ontain-ingmainlyassignmentsandtestsonBooleanvariables.However,the

as-signments,theguardsandtheprograminvariants anbe-quanti ed,so

the orrespondingveri ation onditionsalsoinvolve-quanti ations.

We propose a systemati pro edure allowing the elimination of su h

quanti ations for a large lass of program invariants. At the ore of

this pro edure is a variant of the Herbrand Theorem for many-sorted

rst-orderlogi withequality.

1 Introdu tion

Attheheartof on urrentsoftwareare ontrol-intensive on urrentalgorithms,

whi h solve a large lass of problems, in luding mutual ex lusion,

termina-tiondete tion,reliable ommuni ationthroughunreliable hannels,syn hronous

ommuni ationthroughasyn hronous hannels,fault toleran e,leaderele tion,

Byzantine agreement, on urrentreading and writing, and so on. (See e.g.[8,

25℄formanyexamples,with ommentsandformalorinformalproofs).Manyof

thosesystemsare omposedofaparameterizednumberofidenti alpro essesor

nearlyidenti al pro esses 1

. Most variablesare Booleans orarraysofBooleans,

and operations on the remaining variables are elementary. The veri ation of

su hparameterized on urrentsystemsisthesubje tofmanyre entpapers[1,

4,7,11,17,23,24,31℄.

Requirementsofsu halgorithmsusuallyfallinsafetyproperties(\something

badneverhappens") andliveness properties(\somethinggoodeventually

hap-pens"). It is often possible to view a liveness property as the onjun tion of

a safety property and a fairness hypothesis (\progress is made") so, in

pra -ti e,theveri ationofsafetypropertiesisthemainpartofformalmethodsand

tools.The lassi alinvariantmethod allowsto redu e theveri ationof safety

propertiesto thevalidityproblemfor rst-orderlogi .It ouldhappenthatthe

?

Thisworkwas fundedbyagrantof the\Communautefran aisedeBelgique -

Di-re tiondelare her hes ienti que-A tionsdere her he on ertees"

1

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burgerarithmeti ), butthisisrarelythe asebe auseBooleanarrays(modeled

by uninterpreted predi ates) are oftenused in these algorithms, together with

interpretedpredi ates 2

.

Quanti er-free rst-orderlogi satis ability he kingis de idableforavery

widerangeofformulaswithnon-interpretedandinterpretedpredi atesand

fun -tions.Thusde idabilityis oftenrea hed throughquanti erelimination.We

in-trodu e hereasimple quanti erelimination method for alarge lass of

veri - ation onditions. It is based on a many-sorted logi with equality variant of

theHerbrandTheoremwhi hallowstohavesomekindof nitemodelproperty

[12℄ even when somefun tions (interpreted or not) and interpreted predi ates

areusedin formulas.Wethengive riteriaforveri ation onditionstobene t

from thisproperty.Those riteriaallowtoeliminatequanti ersin theproofby

invariantofmanyrea tivealgorithms, andparti ularly forparameterized

algo-rithms,leadingtoapowerfulinvariantvalidationpro edure.Itallowstoredu e

theinvariantvalidationforasystemwith aparameterizednumberofpro esses

to the invariant validation for asystem with aknown number of pro essesn

0

(Theorem2).Ourmethod anbeseenasanextensionoftheinvariantvalidation

pro edure presentedin [3℄: ourapproa hdoesnotrestri t theuse offun tions

andpredi atestounaryones,andisnotrestri tedtobounded variables.

Ourimplementationhasgivengoodresultsonseveralalgorithms;in

parti -ular, it hasbeensu essful in provingallveri ation onditionsfora

parame-terizedrailroad rossingsystem[21℄usedasben hmarkforSTeP,whereasSTeP

itselfrequiresintera tiveveri ationforsomeofthem[6℄.

We rstpresentourvariantoftheHerbrandTheorem. Next,thisvariantis

usedtoeliminatethequanti ersinveri ation onditionsfrominvariant

valida-tionofparameterizedsystems.Last,twoexamplesarepresented.

2 Herbrand on many-sorted logi

In this se tion, Theorem 1 and its ontext is introdu ed. This theorem will

be used to eliminate quanti ers in veri ation onditions, whi h will lead to

Theorem2.

Amany-sorted rst-orderlanguage(amore ompleteintrodu tionto

many-sorted logi an befound in [13℄) is atuple L =hT;V;F;P;r;disu h that T

is a nite set of sorts (or types), V is the ( nite) union of disjoint nite sets

V



of variables of sort , F andP aresets of fun tion and predi ate symbols,

r (F[P !N) assigns an arityto ea h fun tion and predi atesymbol,and d

(F[P!T ?

)assignsasortinT r(f)+1

toea hfun tionsymbolf 2Fandasort

in T r(p)

to ea h predi ate symbol p 2P. Nullary predi ates are propositions,

andnullaryfun tionsare onstants.

Thesets of-termsonlanguageL ontainallvariablesinV



,andforevery

fun tion symbolf 2F of sort h 

1 ;::: n ;i ,f(t 1 ;:::t n ) isa-termif t 1 ;:::t n are 1 ;::: n

-termsrespe tively.Sort(t)= ift isa-term.

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Anatomi formulaiseithert=t wheretandt aretermsofthesamesort,or

apredi atesymbolappliedtoargumentsofappropriatesorts.Formulasarebuilt

(asusual)fromatomi formulas, onne tors(:,^,_,),),andquanti ers(8,

9). Theset of allvariablesused in formula isnotedVars(),and Free() is

thesetofallfreevariablesin.Aformulais losedifFree()=;.Aformula

is-universallyquanti edifitisoftheform8x withx avariableoftype.

A formula is in prenex form if it is of the form Q

1 x 1 :::Q n x n () where Q 1 ;:::Q n 2 f9;8g, x 1 ;:::x n

2 V, and  is quanti er-free. A formula is in

Skolemformifitisinprenexformwithoutexistentialquanti er.

A(normal)interpretationofaformulaonamany-sorted rst-orderlanguage

L=hT;V;F;P;r;diisapairI=hD;Iiwhere

{ Dassignsanon-emptydomainD



(set)toea htype 2T.Thosesetsare

notne essarilydisjoint;

{ I assignsanelementin D



toea hvariable ofsort;

{ I assignsafun tionD  1 :::D  n !D 

toea hfun tionsymbolf 2F of

sorth 1 ;::: n ;i ; { Iassignsafun tionD  1 :::D  n

!f>;?gtoea hpredi atesymbolp2P

ofsorth 

1 ;:::

n i ;

{ theidentityisassigned totheequalitysign(=).

I assigns avalue in D



to every -term t.This valueis notedI[t℄. Similarly,

interpretation I assigns a valuein f>;?g to everyformula , whi h is noted

I[℄. An interpretation I is amodel for formula  if I[℄ =>. A formula is

satis ableifthereexists amodelforit.

Given aninterpretation I, the ongruen e C

I;= = f(t i ;t 0 i )jI[t i ℄=I[t 0 i ℄g

isare exive,symmetri andtransitiverelationonthesetof termsof language

L. Thisrelationisimportantfortheproofofthefollowingtheorem.

Theorem1. Given

{ a losedformula S inSkolemformon the languageL=hT;V;F;P;r;di;

{  2T su hthatthereisnofun tion symbol f 2F of sorth 

1 ;::: n ;iwith n>0, 1 ;::: n 2T; the set H 

isthe set of onstant symbols of sort  (H



=f 2 Fjd( ) =g).

If f 2Fjd( )=g=;, thenH



=fag,wherea isanarbitrary new onstant

symbol su hthata62F anda62V.

For everymodel I=hD;Iiof S,thereisamodel I 0 =hD 0 ;I 0 isu hthat { D 0 

isthe quotientof the setH

 by ongruen eC I;= ; { D 0  0 =D  0 for every 0 6=; { I 0

[f℄=I[f℄ forevery fun tionsymbol f 2F ofsort h

1 ;::: n ; 0 isu hthat  1 6=;:::  n 6=; 0 6= (n0); { I 0

[p℄ = I[p℄ for every fun tion symbol p 2 P of sort h

1 ;::: n i su h that  1 6=;:::  n 6= (n0). 0

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{ forevery onstantsymbol ofsort in F,I [ ℄is the lassof inD

 ;

{ for everyfun tion symbol f 2 F of sort h 

1 ;::: n ; 0 i (n > 0), and every d 0 1 2 D 0 1 ;:::d 0 n 2 D 0 n , I 0 [f℄(d 0 1 ;:::d 0 n ) = I[f℄(d 1 ;:::d n ) where d i = d 0 i if  i 6=.If i =,d i =I(d 00 i )whered 00 i

isanyelementofthe lassd 0

i 2D

 ;

{ for every predi ate symbol p 2 P of sort h 

1 ;:::

n

i, and every elements

d 0 1 2 D 0 1 ;:::d 0 n 2 D 0 n , I 0 [p℄(d 0 1 ;:::d 0 n ) = I[p℄(d 1 ;:::d n ) where d i = d 0 i if  i 6=.If i =,d i =I(d 00 i )whered 00 i

isanyelementofthe lassd 0

i 2D

 .

ItremainstoshowthatI 0

isamodelofS.Letus rstintrodu eanotation:

given aninterpretationJ =hD;Ji,theinterpretation J

x1=d1;:::xn=dn =hD;J 0 i (wherex 1 ;:::x n

arevariables)issu hthatJ 0 [x i ℄=d i foreveryx i 2fx 1 ;:::x n g andJ 0 [t℄=J[t℄ift62fx 1 ;:::x n g

FormulaSisoftheform8x

1 :::8x

n

().Thusforallelementsd 0 1 ;:::d 0 n su h that d 0 i belongstoD 0  0 ifx i isavariableofsort 0

,thefollowingequalityhold:

I 0 x 1 =d 0 1 ;:::x n =d 0 n [℄=I x 1 =d 1 ;:::x n =d n [℄ with d i =I[d 00 i ℄where d 00 i

isanyelement ofthe lass d 0 i 2D 0  ifx i is ofsort, d i =d 0 i otherwise.

InterpretationI isamodel offormulaS,that meansI

x1=d1;:::xn=dn

[℄=>

forallelementsd

1 ;:::d n whered i belongstoD  0 ifx i isavariableofsort 0 .It followsthatI 0 x1=d 0 1 ;:::xn=d 0 n

[℄=>forallelementsd 0 1 ;:::d 0 n su hthatd 0 i belongs toD 0  0 ifx i isavariableofsort 0 . SoI 0 isamodelofS. ut

Thistheoremisnotexa tlyanextensionoftheHerbrandtheoremto

many-sorted rst-orderlogi .ItisstrongerthantheHerbrandtheorem(seeforexample

[14℄ for thestandardHerbrandtheorem, or [16℄for aversionwith equality)in

thesense that the domaindoesnot ne essarilybe ome in nitein thepresen e

of fun tions. On the other hand, its restri tion to one-sorted rst-order logi

givesba ktheHerbrandtheorem,butrestri tedtothe niteHerbranduniverse

ase.Neverthelessthis aseis themostinterestingone:havinga nite domain

meansthatquanti ereliminationispossible.Considerthesimple(unsatis able)

formula

8i8j[f(i)>g( j)℄ ^ g(a)=3 ^ 9i[f(i)<4℄ (1)

where\<"and\>"aretheusualorderpredi atesonNN.Variablesiandj

and onstantsaandbareofsort 6=Nwhereasf andgarefun tionsfrom to

N.Inthis ontext,thepre edingtheoremstatesthatformula(1)issatis ableif

andonlyifformula

f(a)>g(a) ^ f(a)>g(b) ^ f(b)>g(a) ^

f(b)>g(b) ^ g(a)=3 ^ f(b)<4

is. Thislast formulabelongs to thede idable lass ofquanti er-free rst-order

logi withlineararithmeti sonN anduninterpretedfun tionsymbols.

Corollary 1. A -universally quanti ed formula 8x(x) verifying the

ondi-tionsofTheorem1issatis ableif andonly ifthe nite onjun tion V

2H ( )

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A formula ontaininginterpreted predi ates and fun tions is satis able if and

onlyifithasamodelinarestri tedsubsetofallinterpretations,thatistheset

whereinterpretationsasso iatea xeddomaintogivensortsanda xedmeaning

tothoseinterpretedpredi atesandfun tions.InTheorem1,bothinterpretations

IandI 0

asso iatethesamedomaintoeverysortbut,andgivethesame

mean-ingtoeverypredi ateandfun tion,providednoneoftheirargumentsisofsort.

Inotherwords,Theorem 1is ompatible withtheuseofinterpretedpredi ates

andfun tionsprovidednoneoftheirargumentsisofsort.Forinstan e,inthe

pre edingexample(i,jandaareofsort)theargumentsoftheorderpredi ates

(f(i),g(j),...)arenotofthesort.UsingTheorem1,interpretationI andI 0

are su h that I[<℄=I 0

[<℄and I[>℄=I 0

[>℄. Andthis allowsto eliminatethe

quanti ersonthesort inpresen eofinterpretedpredi ateswithnoargument

ofsort.

Butitisalsopossibletouseorder predi atesonthesortofquanti ed

vari-ables.Let'beaformulawith orderpredi ates(\",...)onsort, and be

the onjun tionoftheaxiomsoftotalordertheory,

= 8x(xx)

^8x8y( (xy^yx))x=y)

^8x8y8z((xy^yz))xz)

^8x8y( xy_yx)

withvariablesx;y;z ofsort.An interpretationisamodelof ^'ifandonly

ifitis amodelof'interpreting\",... astheusual orderpredi atesonD

 .

Putting ^' in Skolem form does notintrodu e new Skolemfun tions. The

onditions of Theorem 1are met for ^' ifthey are met for '. Theorem 1

anbeapplied alsoifsome omparisonsaremadebetweentermsof thesortof

quanti edvariables 3

.

4 Quanti er elimination in invariant validation

In order to verify that the assertion H is an invariant of the transition

sys-temS,onehastovalidatetheHoaretriplefHgfHgforea htransition 4

2S.

This is rstredu edto rst-order logi proving,usingDijkstra [9℄weakest

pre- ondition (wp) operator:Hoare tripefHgfHg is valid ifand only if formula

H ) wp[;H℄ an be proved.Weakest pre ondition al ulus is easy, provided

3

Asin[3℄,\+1"and\1"fun tions ansometimesbeeliminatedwithoutintrodu ing

newSkolemfun tions,bynoti ingthath=i+1 !i<h^8j(ji_hj)and

h=i1 ![i<h^8j(ji_hj)℄_[h<i^8j(hj_ji)℄:

4

Anexampleoftransitionis(s0[p℄s0[q℄;C !A;s1[p℄s1[q℄)whi hallowsthepro esses

pandq togofrom ontrolpoints0 to ontrolpoints1,exe utingthestatementsin

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ditionmoduleinCaveata eptsassignments, onditionalstatements,sequen es

ofstatements,andsomekindofquanti edassignments.Thisisenoughtomodel

rea tivealgorithmsfrom oarseto ne-grainedversions.

Ingeneral,theinvariantisa onjun tion (H= V k 2K h k )ofrelativelysmall assertionsh k

.Inparameterizedsystems,theseassertionsareoftenquanti edover

the(parameterized)setofpro esses.Inordertoavoidtheappearan eofSkolem

fun tions when veri ation onditions are put in Skolemform, an assumption

ismadeaboutthesequanti edassertions:they anbeputbothin prenexform

9 ?

8 ?

( alledhypothesis form in the following,be ause this will be the allowed

formintheante edentofformulasoftheformA)B)andinprenexform8 ?

9 ?

( alled on lusionforminthefollowing,be ausethiswillbetheallowedformin

the on lusionofformulasoftheformA)B).Inpra ti e,twoparti ular ases

ofsu hformulasaremetfrequently:

{ formulasin prenexform ontainingonetypeofquanti er;

{ formulas ontainingonlymonadi predi ates(andnoequality) 5

.

Thereisalsoanassumptionforguards:guardsmustbeformulasinhypothesis

form.Guards metin pra ti eful ll this assumption astheyare quanti er-free

formulasorsinglyquanti edformulas.

Takingthepre eding onditionsonquanti ersintoa ount,provingformula

H )wp[;H℄ (withH = V

k 2K h

k

) redu es to proveaset offormulas ( alled

veri ation onditions) oftheform

(h 1 ^:::h k ^G))C j

where G is the guard of . All formulas h

1 :::h

k

;G are in hypothesis form.

Thereisoneveri ation onditionforea hh

k (k2K).FormulaC k omesfrom hypothesish k : C k wp[ A;h k

℄, whereA isthe statementpartof .C

k anbe

putin on lusionform:indeed,h

k

anbeputin on lusionform,andtheweakest

pre onditionoperatordoesnotmodifythequanti erstru tureofaformula,in

thelanguagea eptedbyCaveat.

Thelastrequirementisaboutfun tions:werequirethatnofun tionusedin

theinvariantH,orinthetransitionsystemShasthepro esssetasdomain.This

mayseemratherrestri tive,butasrea tivealgorithmsmainlyuseBooleanarrays

(modeled bypredi ates,notfun tions), thisrequirementremainsa eptablein

pra ti e.

Underthose onditions,Theorem1 anbeusedto eliminatethequanti ers:

Theorem2. If H isa onjun tive formula, and isatransition systemwith

aparameterizednumbernof pro esses,where

{ allquanti ed variables in H andin the guardof the transitions of range

overtheset ofpro esses;

5

Indeedevery monadi formula is logi ally equivalent to a Boolean ombination of

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{ every onjun t inH an be putboth inhypothesis form (9 8) andin on- lusionform(8 ? 9 ? );

{ everytransitionguard anbeputinhypothesisform;

{ nointerpretedpredi ate other thanequality andorder is usedon the set of

pro esses,neitherinH nor in;

{ nofun tion hasthe pro ess setasdomain, neitherin H norin ;

then H is an invariant of  if andonly if H isan invariant of the system 0 with atmostn 0 pro esses,wheren 0 isthe sum of

{ thenumber ofexistentialquanti ers inH whenputin hypothesis form;

{ themaximumnumberofexistentialquanti ersinguardsoftransitionsin;

{ the maximum number of universal quanti ers in the onjun tsof H,when

putin on lusion form;

{ thenumber of onstants inH;

{ themaximumnumber ofpro essestaking part inatransition 6

.

Proof. Indeedfromthetheorem onditions,everyveri ation onditionisofthe

form ( h 1 ^:::h k ^G))C whereformulash 1 ;:::h k

;Gareinhypothesisform,andCisin on lusionform.

Whenputprenexform,thisformulaisoftheform

8x 1 :::8x p 9y 1 :::9y q '(x 1 ;:::x p ;y 1 ;:::y q ); (2)

wherepisthenumberofexistentialquanti ersinh

1 ^:::h

k

^Gplusthenumber

ofuniversalquanti ersin C.Otherwisestated,p annotex eedthesumof

{ thenumberofexistentialquanti ersinH(h

1 ^:::h

k

)whenputinhypothesis

form;

{ themaximumnumberofexistentialquanti ersin guards(G) oftransitions

in;

{ the maximum number of universal quanti ers in the onjun ts (h

k from

whi hC is omputed)ofH,whenputin on lusion form.

Formula(2)isprovableifand onlyifformula

9x 1 :::9x p 8y 1 :::8y q :'(x 1 ;:::x p ;y 1 ;:::y q ) (3)

isunsatis ableor,usingSkolemization,ifandonlyifformula

8y 1 :::8y q :'(a 1 ;:::a p ;y 1 ;:::y q ) (4) is unsatis able, where a 1 ;:::a p

are Skolem onstants, i.e. onstants whi h do

notappearin'(x 1 ;:::x p ;y 1 ;:::y q

).UsingTheorem1,formula(4)issatis able

ifandonlyifthereisamodelwitha nitepro essset,whi h ontainsallpro ess

onstantsin '(a 1 ;:::a p ;y 1 ;:::y q ),in ludinga 1 ;:::a p .Son 0 isthesumof 6

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{ thenumberof onstants omingfrom H in ';

{ themaximumnumberof onstants omingfrom thetransitions throughG

and C, whi h is the maximum number of pro esses involved at the same

timeinatransition.

u t

Comment. The satis ability problem for the S hn nkel-Bernays lass, that is,

the lassoffun tion-free rst-orderformulasoftheform

9x 1 :::9x p 8y 1 :::8y q '(x 1 ;:::x p ;y 1 ;:::y q );

has rstbeenshowntobede idablebyBernaysandS hn nkelwithoutequality

[5℄ and by Ramsey with equality [29℄.Theorem 1extends this de idable lass

to allow the use of some fun tions (interpreted or not) and some interpreted

predi ates.

Corollary 2. When onditions of Theorem 2 aremet, he king if  preserves

theinvariantH isredu edtoaquanti er-free rst-orderlogi satis ability

he k-ingproblem.

The quanti er-free satis ability he king module [15℄ in Caveat is based

on amodi edversionoftheNelson-Oppenalgorithm [26,27℄. Ita eptslinear

arithmeti , as well as uninterpreted predi ates and fun tions. When Theorem

2applies,andwhenthequanti er-freeformulasuseonlylineararithmeti , and

uninterpretedpredi ates andfun tions, theinvariantvalidation problem is

de- idable.This is the asefornumerous algorithms.Inthe nextse tionasimple

oneis presented.

5 Parameterized Burns algorithm

Inthiswell-knownsimpleexampleonlyonetypeofvariableisused. Theorem1

thusredu es to theHerbrand theorem(with equality, withoutfun tions). This

simpleexampleallowsto learlyexhibittheunderlyingfa twhi henables

quan-ti erelimination:a nite Herbranduniverse.

Burns algorithm [22℄, [25, p. 294℄ guarantees ex lusive a ess to a riti al

se tion for aset of n identi al pro esses. Ea h pro ess p an be in one of six

di erentlo ationstates(i.e.s

0 ...s

5

).Aruleexpressesthetrivialpropertythat

ea hpro essisinoneandonlyonestateatea htime:oneandonlyonevariable

in s

0

[p℄,..., s

5

[p℄ istrue(forea hp). Apro esspbeingins

5 (i.e.s

5

[p℄istrue)

isin the riti alse tion.

Twelvetransitionsarepossiblebetweenthesixstates:

s0[p℄; ag [p℄:= false ; s1[p℄  s1[p℄;:S[p;q℄ ^ q<p ^ ag [q℄ ! 8q:S[p;q℄:=false; s0[p℄  s1[p℄;:S[p;q℄ ^ q<p ^ : ag[q℄ ! S[p;q℄:=true; s1[p℄  s [p℄;8q q<p)S[p;q℄  ! 8q:S[p;q℄:= false ; s [p℄ 

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s2[p℄; ag [p℄:= true; s3[p℄ s3[p℄;:S[p;q℄ ^ q<p ^ ag [q℄ ! 8q:S[p;q℄:=false; s0[p℄  s 3 [p℄;:S[p;q℄ ^ q<p ^ : ag[q℄ ! S[p;q℄:=true; s 3 [p℄  s3[p℄;8q q<p)S[p;q℄  ! 8q:S[p;q℄:= false ; s4[p℄  s4[p℄;:S[p;q℄ ^ p<q ^ ag [q℄ ! 8q:S[p;q℄:=false; s4[p℄  s 4 [p℄;:S[p;q℄ ^ p<q ^ : ag[q℄ ! S[p;q℄:=true; s 4 [p℄  s 4 [p℄;8q p<q)S[p;q℄  ! 8q:S[p;q℄:= false ; s 5 [p℄  s5[p℄; ag [p℄:= false ; s0[p℄ 

Mutualex lusionisobtainedusingtwowaitingrooms(s

3 ands

4

).The rst

one ensures that when a pro ess p has rea hed s

4

, any other pro ess q with

q < p and ag [q℄ = true (trying to get a ess to riti al se tion, or in the

riti alse tion)hasgonethroughtransitions

2 !s

3

afterp.These ondwaiting

roomguaranteesthat this pro essq (withq<p)will beblo kedin s

4

at least

untilpresets ag[p℄tofalse.Onlythehighestpro ess(the onewiththehighest

identi er)willthusgeta essto riti alse tion 7

.

Thealgorithmusesonesingle-writersharedregisterperpro ess: ag[p℄isset

to true by pro ess p when it wants to a ess to riti al se tion. Ea h pro ess

palso usesalo al arrayvariable S[p℄.This variable isused in three loops(s

1 , s 3 , s 4

).In theloops forpro ess p thevalueof the ag[q℄ variableof the other

pro essesqis he ked(pro essesqsu hthatq<porq>p).S[p℄isusedtokeep

tra kofpro essesalready he kedandthosewhi hstillhavetobe he ked.The

algorithmmakesalsoextensiveuseofatotalorderrelationbetweenpro esses.

FormulaH = def 8pH 1 (p)^8p8q[ H 2 (p;q)^H 3 (p;q)℄,with H1(p)= def : ag[p℄)(s0[p℄_s1[p℄_s2[p℄) H2(p;q)=def s2[p℄):S[p;q℄ H3(p;q)=def  q<p ^ ag [q℄ ^ (s5[p℄_s4[p℄_(s3[p℄^S[p;q℄))  )  :s 5 [q℄^:(s 4 [q℄^S[q;p℄)  isaninvariant.Itentails 8

themutualex lusionproperty:

8p8q  p6=q)(:s 5 [p℄_:s 5 [q℄)  :

Every onditionismetforTheorem2to beused. Indeed:

{ nofun tion (atall)isused;

{ everyguardisinhypothesisform.Infa t,everyguardisatmoston e

quan-ti ed;

7

A essto riti alse tionwillbeeasierforpro esseswithhighidenti ers.This

algo-rithmdoesnotguaranteehigh-level-fairness.

8

(10)

on lusionform,astheyareuniversallyquanti ed;

{ the only interpreted predi ates are equality and order; obje ts ompared

belongto a nite,but parameterized,domain:thesetofpro esses.

FromTheorem2,ifH isaninvariantofthisalgorithmforn

0

=4pro essesthen

H willbeaninvariantofthisalgorithmfor any numberofpro esses.

Let's see how this work for a given veri ation ondition: if H is an

in-variant, it is preserved by every transition, and in parti ular, by transition

 1!2 from s 1 to s 2 . Hoare triple fHg 1!2

fHgmust be provable, so must be

fHg 1!2 f8pH 1 (p)g, fHg 1!2 f8p8qH 2 (p;q)g and fHg 1!2 f8p8q H 3 (p;q)g. Inparti ular,fromfHg 1!2 f8p8qH 2

(p;q)g omestheveri ation ondition

'= def (h 1 ^h 2 ^h 3 ^g 1 ^g 2 ^l 1 ^l 2 ^l 3 ^l 4 ^l 5 ))C with { h 1 = def 8pH 1 (p) { h 2 = def 8p8qH 2 (p;q) { h 3 = def 8p8qH 3 (p;q) { g 1 = def s 1 [p℄ { g 2 = def 8q  q<p)S[p;q℄  { l 1 = def 8p  s 0 [p℄):(s 1 [p℄_s 2 [p℄_s 3 [p℄_s 4 [p℄_s 5 [p℄)  { l 2 = def 8p  s 1 [p℄):(s 2 [p℄_s 3 [p℄_s 4 [p℄_s 5 [p℄)  { l 3 = def 8p  s 2 [p℄):(s 3 [p℄_s 4 [p℄_s 5 [p℄)  { l 4 = def 8p  s 3 [p℄):(s 4 [p℄_s 5 [p℄)  { l 5 = def 8p  s 4 [p℄):s 5 [p℄  { C= def 8s8r  (s6=p)s 2 [s℄)):(s6=p ^ S[s;r℄)  Hypothesesh 1;2;3

omefromtheinvariant,g

1;2

fromthetransitionguards 9

.

For-mulasl

1;:::5

statethatea hpro essisin oneandonlyonestate.The on lusion

C istheresultofapplyingtheweakestpre onditionoperator,i.e.,

Cwp[8q:S[p;q℄:=false;s 1 [p℄:=false;s 2 [p℄:=true;8p8qH 2 (p;q)℄

Everyformulafromh

1 tol

5

isinhypothesisform,andCisin on lusionform.

The Herbrand universe for the negation of this veri ation ondition ontains

fourelements(p,q,andthenew onstants omingfromtheSkolemizationofC).

Everyuniversalquanti erinhypotheseswillthengiverisetofourinstan es,for

atotalof61hypotheses 10

.

Caveat took 5 se onds on a Pentium 1 GHz, to generate and verify 40

veri ation onditions.Thisin ludesthetimetoverifythattheinvariantentails

themutualex lusionproperty,andalsothattheinvariantismadetruebyinitial

onditions.

9

g1 omesfromtheoriginofthetransition.Transition(l1;C !A;l2)withoriginl1

anddestinationl2 anbewrittenastransition((C^l1) !A;l1:=false;l2:=true).

10

ea h formula h1, g2, l1:::5 generates four instan es, whereas formulas h2 and h3

(11)

TheGeneralizedRailroadCrossingben hmark[21℄usespredi atesandfun tions

fromarithmeti . Itgivesageneralideaofwhat Theorem1allowstodealwith.

A ontrolleroperateson agateof arailroad rossingprote tingN parallel

railroadtra ks.Thegatemustbedownwheneveratraintakestheinterse tion,

so that the interse ting road is losed. Ea h of the N trains an be in three

di erentregions:intheinterse tion(I),inthese tionpre edingtheinterse tion

(P),oranywhereelse(not here).Thearrayvariable\trains"re ordstheposition

ofea htrain:trains[i℄ anbeoneofthethreevaluesI;P;nothere.Thegate an

be in four states: the value of variable \gate" an be down;up;goingdown or

going up,withobviousmeanings.Thesystemshouldverifythesafetyproperty,

whi hexpressesthefa tthat thegatemustbedownwhenanyoftheN trains

ispassingtheinterse tion:

8i(trains[i℄=I )gate=down):

Thegatetakessometime to go from the state\up" to \down".This time

must notex eed\gateRiseTime".Similarlythetimeto gofrom the\down"to

the \up"states must notex eed \gateDownTime". Trains gettingin P would

takeaminimumtime\minTimeToI"andamaximumtime\maxTimeToI"toget

to theinterse tion.Itisthe ontrollerjobto knowwhentolowerthegate,and

whentoraiseit.Initially,thegateisup,andnotrainiseitherintheinterse tion

orin these tionpre edingtheinterse tion.

The system transitions are given on Figure 1. The rst three transitions

model the position hanges of the train i. The twofollowing ones express the

ontrollerde isiontolowerorraisethegate.Thenexttwomeanthegaterea hes

theupor downstates.Thelastonemodelsthetime ow.

Onlytwotransitionguardsarenotquanti er-free.Butthey aneasilybeput

in prenexform with asingle quanti er.Fun tions are used (trains, rstEnter,

lastEnter,s hedTime,+)buttheydonotrangeoverthepro essset.All

require-ments are thus met for Theorem 2to be used, aslong asthe invariantsto be

he kedalsoverify therequirementsaboutquanti ers.

Figure2showsseveralinvarian epropertiesofthesystem.Togetherwiththe

safetyproperty,theygiveaninvariantforthesystem.Asthesafetypropertyis

one onjun t ofthe invariant, it is triviallyentailedby theinvariant.In order

to validate the invariant, it is ne essary to take into a ount the onstraints

on onstants(Figure 3) aswell asthe progressaxioms 11

(Figure 4). They are

supplementaryhypothesestobeput intheveri ation onditions.

Inthe whole proof, only two properties (or guards) are existentially

quan-ti ed, propertiesare at most on e quanti ed, and at most onetraintakepart

in a transition. From Theorem 2, if the invariant (whi h guarantees that the

algorithmissafe)ispreservedfor four trains,thealgorithmwillbesafefor any

numberof trains.

11

(12)

trains[i℄:=P; rstEnter[i℄:=T+minTimeToI; lastEnter[i℄:=T+maxTimeToI; s hedTime[i℄:=T+ onMinI ; trainHere[i℄:=true end 

trains [i℄=P ^ T  rstEnter[i℄ ! trains [i℄:=I 

trains [i℄=I ! begintrains [i℄:=nothere; trainHere[i℄:=false end 

(gate=up _ gate=going up) ^ gstatus=up

^9i(trainHere[i℄ ^ s hedTime[i℄T+ down+ )

! begin

gate=going down;

lastDown:=T+gateDownTime ;

gstatus:=down

end 

(gate=down _ gate=goingdown) ^ gstatus=down

^8i(trainHere [i℄)s hedTime[i℄>T +

down

+ up+ arPassingTime)

! begin

gate:=going up;

lastUp:=T+gateRiseTime ;

gstatus:=up

end 

gate=goingup ! gate:=up 

gate=goingdown ! gate:=down 

T :=T+" 

(13)

T 1 = def 8i T < rstEnter[i℄)trains[i℄6=I T2=def 8i trains[i℄=P)

( rstEnter[i℄T+minTimeToI ^ T lastEnter [i℄

^lastEnter [i℄ rstEnter[i℄=maxTimeToI minTimeToI) 

C1=def gstatus=up)8i trainHere[i℄)T <s hedTime[i℄ down 

GC

1 =

def

gstatus=down(gate=goingDown _ gate=down)

GC

2 =

def

gstatus=down)lastDownT+gateDownTime

GC

3 =

def

gstatus=up)8i trainHere [i℄)lastDown<s hedTime[i℄ 

TC1=def 8i trainHere[i℄trains [i℄6=notHere 

TC2=def 8i trainHere[i℄)s hedTime[i℄< rstEnter[i℄ 

Fig.2.Invarian eproperties

AC 1 = down < onMinI ACT 1 = onMinI<minTimeToI AGC 1 =gateDownTime< down

AGC2=gateRiseTime< up

Fig.3.Constraintson onstants

G1 =def gate=goingDown)T lastDown

G2 =def gate=goingUp)T lastUp

P1 =def 8i(trains [i℄=P )TlastEnter [i℄)

P

2 =

def

gstatus=up)8i trainHere [i℄)T <s hedTime[i℄

down  P 3 = def gstatus=down)

9i trainHere [i℄ ^ s hedTime[i℄T+

up

+ arPassingTime+

down 

(14)

ne essaryto provethesafetyproperty.

7 Con lusions and future work

Theinvariantvalidation pro essoftenhasan intera tivepartaswellasan

au-tomati part[6,30℄.This intera tiveaspe t(evenif itisoften easy)makesthe

proofpro esslongerandtedious.Thisworkisonestepfurthertomaketheproof

byinvariantsmoreappli able,eitherasamethod byitself, orasanelementof

anautomati veri ationpro ess.

Theveri ation onditionsobtainedinthe ontextofveri ationof

parame-terizedalgorithmareoftenquanti edoverthesetofpro esses.Wehavepresented

hereaquanti erelimination pro edurebased onanenhan edHerbrand

Theo-rem,anadaptationofthe lassi alHerbrandTheoremtomany-sortedlogi with

equality.Thisquanti ereliminationpro edureissuitableforalarge lassof

veri- ation onditionsin ludingformulas omingfromveri ationofparameterized

systems.It hasbeensu essfullyapplied to theinvariant validationfor several

algorithmsin luded thebakeryalgorithm(withorwithoutbounded ti kets),a

railroad rossingsystem, Burns,Dijkstra, Ri art&Agrawala, Szymanski...As

thequanti er-freevalidityproblemisusuallyde idable,thisquanti er

elimina-tionpro edureisakeytoautomati validationofinvariants.

Withbiggeralgorithms,instantiationitselfmaybe omeaproblem. Finding

simple and e e tiveheuristi s to sele tivelyinstantiateformulas is also in our

on ern. A rigorous hypothesis sele tion and elimination method has already

been found in the pure propositional ase [19℄, and the results are promising.

Weplantoadapt ittothepresentframework.

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Logi .Springer-Verlag,Berlin, 1995.

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equa-tional matingsandrigidE{uni ation. Journalofthe ACM,39(2):377{429, Apr.

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JournaloftheACM,39(3):675{735,July1992.

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