Step 2 l’Operatore Economico dovrà creare un archivio compresso di tipo Zip, Rar o 7z al cui interno inserire tutti i files firmati digitalmente;
Step 2 l9operatore economico deve creare un archivio compresso di tipo ZIP, Rar o 7z al cui interno inserire tutti i files firmati digitalmente;
Step 2. Il Cliente genera un ticket presso XXXX XXXXX XXXXX e conferma l’autorizzazione delle società del Gruppo XXXX XXXXX per l’accesso remoto alle Macchine in Rete interessate.
Examples of Step 2 in a sentence
Visualizzare il pannello per la selezione della particella catastale Step 2.
Il Centrale ( Step 2 ) deposita il messaggio di eventoImposta nelle proprie strutture ed utilizza il contenuto del Messaggio per alimentare l'Indice degli Eventi, ed annotare quindi che, su quel cittadino, la Struttura cooperante ha aperto un Contatto.
More Definitions of Step 2
Step 2. Pulire il foro dalla polvere aspirando o soffiando Step 3 Posizionare l’elemento da fissare1) Step 4 Installare l’ancorante utilizzando un avvitatore ad impulsi Step 5 Serrare il dado sul filetto metrico HXE03 Step 1 Forare con trapano in modalità di roto-percussione. Il foro deve avere diametro inferiore di 2 [mm] rispetto a quello della vite.
Step 2. Presa in carico ed assegnazione del Ticket, che comprende le seguenti attività: • Qualificazione del Ticket: verifica/assegnazione della categoria, verifica del livello di severità e della completezza delle informazioni che descrivono la richiesta d’intervento; • Assegnazione del Ticket alla persona/team di competenza; • Comunicazione al Cliente dell’avvenuta presa in carico.
Step 2. V := Specializevcg(P);
Step 2. V := Specializevcg(P); Step 3: S := Specializeprop(V); Step 4: M (S) := BottomUp(S); Return the answer correct if f incorrect /∈M (S). Figure 4: The Verification Method The CLP Translation step (Step 1) and the Verification Conditions Generation step (Step 2), of the verification method shown in Figure 4, rely on the C2CLP and Specializevcg procedures, respectively. In particular, in order to guarantee the termination of the Unf subsidiary procedure of Specializevcg (see Figure 3), an atom A is selected for unfolding only if it has not been derived by unfolding a variant of A itself. The verification method shown in Figure 4 avoids the direct evaluation of the clauses in the CLP program V and applies symbolic evaluation methods based on program specialization. Indeed, starting from the CLP program V, the Verifi- cation Conditions Transformation step (Step 3) performs a further specialization, called the propagation of the constraints, which consists in specializing V with respect to the constraint representing the initial property ϕinit, with the aim of deriving, if possible, a CLP program S whose least model M (S) is a finite set of constrained facts. The least model M (S) is computed by using a bottom-up evaluation procedure. In order to perform the Verification Conditions Transformation step, we pro- pose a specialization strategy, called Specializeprop (see Figure 6), which extends Specializevcg with a more powerful Definition Introduction phase. In par- ticular, the Definition Introduction of Specializeprop makes use of general- ization operators that are related to some abstract interpretation techniques [30] and they play a role similar to that of abstraction in the verification methods described in [26, 36, 1]. However, since it is applied during the verification pro- cess, and not before the verification process, our generalization is often more flexible than abstraction. By means of an example borrowed from [75], we argue that program special- ization can prove program correctness in some cases where the CEGAR method (as implemented in ARMC [123]) does not work. In particular we show that the construction of the least model M (S) terminates and we can prove the correct- ness of the imperative program Prog with respect to ϕinit and ϕerror by showing that the atom incorrect does not belong to that model. {ϕinit(x, y, n) } doubleLoop {ϕerror (x, y, n) } where: (i) ϕinit(x, y, n) is x = 0 y = 0, x 0 (xx) xxxxxx (x, x, x) is x<y, and
Step 2 individuazione delle Best Practice al fine di estrarre le raccomandazioni da inserire nel model PDTA