By Germán Vidal (auth.), Danny De Schreye (eds.)
This quantity constitutes the completely refereed post-conference court cases of the nineteenth foreign Symposium on Logic-Based application Synthesis and Transformation, LOPSTR 2009, held in Coimbra, Portugal, in the course of September Sep 11, 2009. The 14 revised complete papers provided including one invited speak have been rigorously reviewed and chosen for inclusion within the booklet. LOPSTR typically solicits papers within the parts of specification, synthesis, verification, transformation, research, optimization, composition, safeguard, reuse, functions and instruments, component-based software program improvement, software program architectures, agent-based software program improvement, and application refinement.
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Additional info for Logic-Based Program Synthesis and Transformation: 19th International Symposium, LOPSTR 2009, Coimbra, Portugal, September 2009, Revised Selected Papers
Example text
Also note that the selection of an answer substitution for the local variables in the guard is a committed choice. g. CHR(Prolog). 2, we discussed the representation of the three kinds of CHR rules into simplification rules, thus safely over-approximating the contents of the constraint store with respect to the original theoretical CHR semantics. This choice was motivated in the introduction. We assume this transformation to take place prior to the transformation to Prolog that we discuss in this section.
Bl , C1 , . . , Cm |R]) :- G1 , . . , Gr ; we have that, for all i, hi = Hi σ, hence we obtain the resolvent G1 σ, . . , Gr σ, goal([B1 σ, . . , Bl σ, C1 σ, . . , Cm σ, bn+1 . . , bn+k ]). By our assumptions about the store, resolving the guards G1 σ, . . , Gn σ one by one results in an accumulated substitution θ and the new goal goal([B1 σ, . . , Bl σ, C1 σ, . . , Cm σ, bn+1 . . , bn+k ]θ) with [bn+1 . . , bn+k ]θ a permutation of [c1 , . . ck ]θ. Hence, γ(goal([B1 σ, . . , Bl σ, C1 σ, .
Bn+k ]). By our assumptions about the store, resolving the guards G1 σ, . . , Gn σ one by one results in an accumulated substitution θ and the new goal goal([B1 σ, . . , Bl σ, C1 σ, . . , Cm σ, bn+1 . . , bn+k ]θ) with [bn+1 . . , bn+k ]θ a permutation of [c1 , . . ck ]θ. Hence, γ(goal([B1 σ, . . , Bl σ, C1 σ, . . , Cm σ, bn+1 . . , bn+k ]θ) = {B1 σ, . . , Bl σ, C1 σ, . . , Cm σ, c1 , . . , ck }θ = S which completes the proof for this case. This relation establishes that the analysis of properties of constraints, part of the CHR constraint store during execution of a CHR(Prolog) program, can take place on its transformed program C2P (P ) instead.