By Aditya V. Nori, Sriram K. Rajamani (auth.), Hongseok Yang (eds.)
This publication constitutes the refereed complaints of the ninth Asian Symposium on Programming Languages and platforms, APLAS 2011, held in Kenting, Taiwan, in December 2011. The 22 revised complete papers awarded including four invited talks and one procedure and power displays have been rigorously reviewed and chosen from sixty four submissions. The papers are geared up in topical sections on software research; useful programming; compiler; concurrency; semantics; in addition to certification and logic.
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Additional resources for Programming Languages and Systems: 9th Asian Symposium, APLAS 2011, Kenting, Taiwan, December 5-7, 2011. Proceedings
5] × R that is a convex polyhedron. 5, and x2· ≤ x1· } is an invariant in the following sense: each differentiable trajectory that starts in P and evolves according to V while satisfying I stays in P . The situation is illustrated in Figure 1. A hybrid automaton Ψ = (n, L, T , Θ, D, I, l0 ) consists of the following components: – n is the number of continuous variables. – L is a finite set of locations. – l0 ∈ L is the initial location. – T is a finite set of discrete transitions. Each transition (l1 , Ξ, l2 ) ∈ T consists of a move from the location l1 ∈ L to the location l2 ∈ L, and an assertion Ξ ⊆ (Rn )2 .
The existence of such a point-wise minimal mapping will be ensured by our findings. The abstract semantics safely over-approximates the concrete semantics. In order to verify safety properties, a problem one is interested in is abstract reachability, which is the following decision problem: Decide whether or not, for a given template constraint matrix T ∈ Rm×n , a given affine hybrid automaton Ψ = (n, L, T , Θ, D, I, l0 ), and a given location l ∈ L, the statement V [l] = ∅ holds. In this paper, we will adapt the max-strategy improvement algorithm of Gawlitza and Seidl [10, 11, 12, 14, 15] for computing V .
Sci. 267(1), 73–87 (2010) 7. : Construction of abstract state graphs with PVS. In: Grumberg, O. ) CAV 1997. LNCS, vol. 1254, pp. 72–83. Springer, Heidelberg (1997) 8. : Program analysis as constraint solving. In: Proceedings of the 2008 ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2008, pp. 281–292. ACM, New York (2008) 9. : Constraint-Based Invariant Inference over Predicate Abstraction. , M¨ uller-Olm, M. ) VMCAI 2009. LNCS, vol. 5403, pp. 120–135. Springer, Heidelberg (2009) 10.
Programming Languages and Systems: 9th Asian Symposium, APLAS 2011, Kenting, Taiwan, December 5-7, 2011. Proceedings by Aditya V. Nori, Sriram K. Rajamani (auth.), Hongseok Yang (eds.)