Download Formal Methods for Industrial Critical Systems: 17th by Nouha Abid, Silvano Dal Zilio (auth.), Mariëlle Stoelinga, PDF

By Nouha Abid, Silvano Dal Zilio (auth.), Mariëlle Stoelinga, Ralf Pinger (eds.)

This publication constitutes the lawsuits of the seventeenth foreign Workshop on Formal tools for business severe structures, FMICS 2012, held in Paris, France, in August 2012.
The 14 papers awarded have been conscientiously reviewed and chosen from 37 submissions. the purpose of the FMICS workshop sequence is to supply a discussion board for researchers who're attracted to the advance and alertness of formal tools in undefined. It additionally strives to advertise examine and improvement for the advance of formal tools and instruments for business applications.

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Additional info for Formal Methods for Industrial Critical Systems: 17th International Workshop, FMICS 2012, Paris, France, August 27-28, 2012. Proceedings

Example text

2. The lefthand column of Fig. 6 shows the bytecode of this method (which is the input to jms2abs) and the right-hand column contains the IR that jms2abs uses which features the three first points above. We can observe that instructions in the IR have an almost one-to-one correspondence with bytecode instructions (rule 7 in the IR corresponds to the CFG block starting at bytecode instruction 7, for example), but they contain as explicit parameters the variables on which they operate (the operand stack is represented by means of variables).

It is extracted from the above IR in a fully automatic way. , are used to represent variable bindings and conditional statements in the original program. Moreover, observe that several data types declarations have been generated from class PriceList. The new algebraic data type PriceList has two data constructors: one for the empty list (EmptyPriceList) and one for the combination of a product and another list (ConsPriceList(Product,PriceList)). 26 2 4 6 8 10 12 14 16 E. M. M. Rojas // Data t y p e d e c l a r a t i o n s type ProductID = I n t ; type P r i c e = I n t ; data P r o d u c t = EmptyProduct | ConsProduct ( ProductID , P r i c e ) ; data P r i c e L i s t = E m p t y P r i c e L i s t | C o n s P r i c e L i s t ( Product , P r i c e L i s t ) ; // Function d e f i n i t i o n s Price List updatePrices ( P riceList l ) { l e t Int i = 1 in loop ( p r i c e L i s t , newPriceList , i ) ; } P r i c e Li s t loop ( P r i c e L i s t l1 , P r i c e L i s t l2 , Int i ) { l e t n = length ( l2 ) in case i <= n { True => l e t p = get ( l 2 , i ) i n case ( c o n t a i n s ( l 2 , p ) ) { True => return l o o p ( u p d a t e ( l 1 , p ) , l 2 , i + 1 ) ; F a l s e => return l o o p ( add ( l 1 , p ) , l 2 , i + 1 ) ; } F a l s e => return l 1 ; } } All procedures which have not been transformed into functions will become methods of the ABS models.

It M. Stoelinga and R. ): FMICS 2012, LNCS 7437, pp. 32–46, 2012. c Springer-Verlag Berlin Heidelberg 2012 Certifying and Reasoning on Cost Annotations in C Programs 33 the compiled code. Specifically, we aim to build a formally verified C compiler that given a source program produces automatically a functionally equivalent object code plus an annotation of the source code which is a sound and precise description of the execution cost of the object code. We target in particular the kind of C programs produced for embedded applications; these programs are eventually compiled to binaries executable on specific processors.

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