Algebraic Methodology and Software Technology: 10th - download pdf or read online

By Roland Backhouse (auth.), Charles Rattray, Savitri Maharaj, Carron Shankland (eds.)

ISBN-10: 3540223819

ISBN-13: 9783540223818

This ebook constitutes the refereed complaints of the tenth overseas convention on Algebraic technique and software program expertise, AMAST 2004, held in Stirling, Scotland, united kingdom in July 2004.

The 35 revised complete papers awarded including abstracts of five invited talks and an invited paper have been conscientiously reviewed and chosen from sixty three submissions. one of the subject matters lined are all present concerns in formal tools with regards to algebraic ways to software program engineering together with summary information kinds, technique algebras, algebraic specification, version checking, abstraction, refinement, version checking, nation machines, rewriting, Kleene algebra, programming good judgment, and so on.

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Extra info for Algebraic Methodology and Software Technology: 10th International Conference, AMAST 2004, Stirling, Scotland, UK, July 12-16, 2004. Proceedings

Example text

Fn . We write LXP for the language obtained from this assertion language by taking expressions from XPath. LXP allows one to express a wide range of program invariants. Example. Returning to the network configuration example, one can express that the minimum capacity of a region must be above the maximum capacity of adjacent regions by Never([class = Region ∧ @minCpty ≤ AdjRegion/@regionId/@maxCpty]) One can express that a region ID uniquely identifies a region node by Key(↓∗ /Region) : Fields(@regionId) One can express that the region ID of every adjacent region points to some node ID of a region by Reference(↓∗ /AdjRegion) : Source(@regionId), Target(@nodeId) LXP is strictly more expressive then the standard key and referential constraints of relational and XML data.

6. Incremental Precondition Calculation for Operation op = Delete(n, C) inside existential quantifiers. In the case for implication in Figure 5, we use that if φ1 ⇒ φ2 , then φ1 must contain only universal quantifiers. The algorithm for deletion uses an auxiliary function CBF(op, φ) (“can become false”), defined for every formula without universal quantifiers, which returns true whenever operation op can cause φ to change from true to false. We present a basic algorithm for computing CanBecomeFalse, but algorithms based on more precise static analyses are possible.

2. The subformula class(parent(p)) = Region could be simplified to false if schema information showed that the parent of p must be of class Region. To get a feeling for the cost savings achieved by the simplifier, we generated preconditions from the 83 constraints in the Delta-X regression test suite, which are modelled after constraints in Delta-X applications. The cost of a precondition was computed as nd , where n is the number of nodes per class, and d is the maximum loop nesting depth in the code generated for the precondition.

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Algebraic Methodology and Software Technology: 10th International Conference, AMAST 2004, Stirling, Scotland, UK, July 12-16, 2004. Proceedings by Roland Backhouse (auth.), Charles Rattray, Savitri Maharaj, Carron Shankland (eds.)


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