By Donald E. Knuth (auth.), P. Deransart, M. Jourdan (eds.)

Attribute grammars have been brought over two decades in the past, yet they're nonetheless now not as known as might have been was hoping before everything. this can be relatively so in undefined, regardless of their characteristics as a specification device. the purpose of this foreign Workshop on characteristic Grammars and their functions (WAGA), the 1st to be completely dedicated to this subject, used to be to teach that they're nonetheless the topic of lively examine and now result in very important, precious and useful purposes in numerous components. The workshop coated all points of characteristic grammars, with an emphasis on useful effects. This quantity comprises the textual content of the 3 invited talks and 21 submitted papers offered on the workshop. this option presents a large view of the various study being performed within the zone. subject matters comprise: - Fundamentals: effective exhaustive and incremental at- tribute evaluate equipment, parallel assessment, area optimization, relationships with practical, common sense and object-oriented programming, and structures. - Applications: compiler building, typical language processing, and interactive software manipulation.

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Extra resources for Attribute Grammars and their Applications: International Conference WAGA Paris, France, September 19–21, 1990 Proceedings

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In fact, unless there is a call that imposes a base case, the choice of the base case is open, so one can argue that ap3(X), a type without a base case is the most general and the most natural one. Theorem 1. The type signatures and the type rules derived from the normal form of the constraints generated from a program P are a well-typing for P . The proof follows immediately from Propositions 1, 3 and 4 (see [3]). 3 We assume program clauses do not share variables and predicates p/n and p/m with n = m do not occur.

E. Rodr´ıguez-Carbonell and D. Kapur. An abstract interpretation approach for automatic generation of polynomial invariants. In Proc. SAS 2004, vol. 3148 of LNCS, pp. 280–295, Verona, Italy. 27. E. Rodr´ıguez-Carbonell and D. Kapur. Automatic generation of polynomial loop invariants: Algebraic foundations. In Proc. ISSAC 2004, pp. 266–273, Santander. 28. M. Roozbehani, E. Feron, and A. Megrestki. Modeling, optimization and computation for software verification. In Proc. HSCC 2005, pp. 606–622, Z¨ urich.

J. Stoer and C. Witzgall. Convexity and Optimization in Finite Dimensions I. Springer-Verlag, Berlin, 1970. 34. A. Tiwari, H. Rueß, H. Sa¨ıdi, and N. Shankar. A technique for invariant generation. In Proc. TACAS 2001, vol. 2031 of LNCS, pp. 113–127, Genova, Italy. dk Abstract. A method is developed to infer a polymorphic well-typing for a logic program. Our motivation is to improve the automation of termination analysis by deriving types from which norms can automatically be constructed. Previous work on type-based termination analysis used either types declared by the user, or automatically generated monomorphic types describing the success set of predicates.

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