By Jie Ding, Jane Hillston (auth.), Michael Johnson, Dusko Pavlovic (eds.)
This e-book constitutes the refereed complaints of the thirteenth overseas convention on Algebraic technique and software program expertise, AMAST 2010, held in Lac-Beauport, quality control, Canada, in June 2010.
The 14 revised complete papers awarded have been conscientiously reviewed and chosen from 33 submissions. The papers are equipped in 1 invited paper, 10 contributed study papers, and four procedure demonstrations.
Read or Download Algebraic Methodology and Software Technology: 13th International Conference, AMAST 2010, Lac-Beauport, QC, Canada, June 23-25, 2010. Revised Selected Papers PDF
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Extra resources for Algebraic Methodology and Software Technology: 13th International Conference, AMAST 2010, Lac-Beauport, QC, Canada, June 23-25, 2010. Revised Selected Papers
A Kleene algebra (KA) is an algebraic structure (K, +, ·, ∗ , 0, 1) satisfying the following axioms4 . p + (q + r) = (p + q) + r p(q + r) = pq + pr (p + q)r = pr + qr qp + r p → q ∗ r p pq + r p → rq ∗ p 3 4 p(qr) = (pq)r p+q =q+p p+p=p 1 + p∗ p p∗ 1 + pp∗ p∗ p+0=p p0 = 0 = 0p p1 = p = 1p p q ↔p+q =q Blocks of the form [x 0 ]y do not translate to a rule. They are just omitted in the grammar. Those blocks are a way to identify the fail instruction in programs. In the sequel, we write pq instead of p · q.
Transactions on Programming Languages and Systems 19(3), 427–443 (1997) 7. : Nonlocal ﬂow of control and Kleene algebra with tests. In: Proc. 23rd IEEE Symp. Logic in Computer Science, pp. 105–117 (June 2008) 8. : Certiﬁcation of compiler optimizations using Kleene algebra with tests. , et al. ) CL 2000. LNCS (LNAI), vol. 1861, pp. 568–582. Springer, Heidelberg (2000) 9. : From system F to typed assembly language. ACM Transactions on Programming Languages and Systems 21(3), 527–568 (1999) 10. : Proof-carrying code.
So LRSPf (S) and LRSPsf (S) are deadlock-free. 2 Deadlock-Checking Algorithm in LRSPsf Theorem 4 allows us to check the corresponding linearised state space to determine whether a consistent and EQ model has deadlocks. Note that “consistent” and “EQ” can be eﬃciently checked as properties of the activity matrix. As previously mentioned, an activity α is disabled in m if and only if there is a P such that m[P ] < CPre [P, α] which must imply m[P ] = 0 and CPre [P, α] = 1. Thus only states m with zeros in some places can possibly be a deadlock.