Ralph-Johan Back (auth.), Michael Johnson, Varmo Vene (eds.)'s Algebraic Methodology and Software Technology: 11th PDF

By Ralph-Johan Back (auth.), Michael Johnson, Varmo Vene (eds.)

ISBN-10: 3540356339

ISBN-13: 9783540356332

This is the court cases of the eleventh version of the Algebraic technique and software program expertise (AMAST) convention sequence. The ?rst convention used to be held within the united states in 1989, and because then AMAST meetings were hung on (or close to) ?ve di?erent continents and feature been hosted through the various so much fashionable humans and enterprises within the ?eld. The AMAST initiative has constantly sought to have useful e?ects by way of dev- oping the technological know-how of software program and basing it on a ?rm mathematical origin. AMAST hasinterpretedsoftwaretechnologybroadly,andhas, for instance, held AMAST workshops in parts as different as real-time structures and (natural) l- guage processing. equally, algebraic technique is interpreted generally and comprises summary algebra, classification thought, common sense, and a number of different ma- ematical subdisciplines. The actually distinguishing characteristic of AMAST is that it seeks rigorous mathematical advancements, yet continuously strives to hyperlink them to genuine technological purposes. Our conferences often comprise industry-based contributors and are an extraordinary chance for mathematicians and mathema- callymindedacademicstointeracttechnicallywithindustry-basedtechnologists. through the years AMAST has incorporated commercial contributors from companies focusing on safety-critical (including scientific) platforms, delivery (including aerospace), and security-critical structures, among others.

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Additional info for Algebraic Methodology and Software Technology: 11th International Conference, AMAST 2006, Kuressaare, Estonia, July 5-8, 2006. Proceedings

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In Section 5, we introduce a couple of abstraction functions to limit the number of bound names generated in the interpretation and to produce an abstract view of time. In Section 6, we define the timed version of the information leakage property and finally, in Section 7, we demonstrate the applicability of the analysis in a simple example of firewall breaches. 2 The Stochastic π-Calculus We recall here the syntax of the stochastic π-calculus. Definition 1 (Stochastic π-calculus). Let N be the infinite countable set of names, {a, b, c, x, y, z .

Xn−1 ] = [f x0 , . . , f xn−1 ] All applied to for tuples (f1 , . . , fn )◦ (f1 , . . , fn )◦ x = (f1 x, . . , fn x) Identity function id id x = x n n Tuple access πi πi (a1 , . . , an ) = ai Constant functions K Kx = K Arithmetic operators +, −, ÷, ×, . . + (x, y) = x + y etc. Left distribute distl distl (a, [x0 , . . , xn−1 ]) = [(a, x0 ), . . , (a, xn−1 )] Zip zip zip ([x0 , . . , xn−1 ], [y0 , . . , yn−1 ]) = [(x0 , y0 ), . . , (xn−1 , yn−1 )] n times Value repetition repeat Vector transpose transpose Vector Vector Vector Vector enumeration length indexing selection iota # !

We envisage three major improvements to the implementation as defined so far. First, the system could be made more extensible by the formal definition of syntax interfaces for transformation components as in[19]. Second, the volume of transformation rules may be significantly reduced by separating rule application strategies from the rewrite rules themselves[20]. Last, an efficient mapping of point free code to imperative code on sequential architectures needs to be defined, work toward this goal is underway[15].

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Algebraic Methodology and Software Technology: 11th International Conference, AMAST 2006, Kuressaare, Estonia, July 5-8, 2006. Proceedings by Ralph-Johan Back (auth.), Michael Johnson, Varmo Vene (eds.)

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