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A survey and classification of some program transformation approaches and techniques
 In. IFIP TC 2 Working Conference on Program Specification and
, 1987
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Transformation of Logic Programs
 Handbook of Logic in Artificial Intelligence and Logic Programming
, 1998
"... Program transformation is a methodology for deriving correct and efficient programs from specifications. In this chapter, we will look at the so called 'rules + strategies' approach, and we will report on the main techniques which have been introduced in the literature for that approach, i ..."
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Cited by 40 (4 self)
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Program transformation is a methodology for deriving correct and efficient programs from specifications. In this chapter, we will look at the so called 'rules + strategies' approach, and we will report on the main techniques which have been introduced in the literature for that approach, in the case of logic programs. We will also present some examples of program transformation, and we hope that through those examples the reader may acquire some familiarity with the techniques we will describe.
Retrieving ReUsable Software Components By Polymorphic Type
, 1991
"... Polymorphic types are labels classifying both (a) defined components in a library and (b) contexts of free variables in partially written programs. We propose to help programmers make better use of software libraries by providing a system that, given (b), identifies candidates from (a) with matching ..."
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Cited by 37 (2 self)
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Polymorphic types are labels classifying both (a) defined components in a library and (b) contexts of free variables in partially written programs. We propose to help programmers make better use of software libraries by providing a system that, given (b), identifies candidates from (a) with matching types. Assuming at first that matching means unifying (ie having a common instance) we discuss efficient ways of implementing such a retrieval system, and also indicate its likely effectiveness based on a quantitative study of currently available libraries. Later we introduce the applicative instance relation between types, which captures some intuitions about generalisation/specialisation, and discuss its use as the basis of a more flexible system. 1. INTRODUCTION Much programming effort can be saved by making good use of libraries of predefined components. In a functional language the majority of such components are functions and many of them are higher order functions, extensive use o...
Problem Solving Techniques for the Design of Algorithms. Information Processing and Management 20(1–2): 97–118
, 1984
"... Problem solving techniques for the design of algorithms ..."
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Cited by 34 (0 self)
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Problem solving techniques for the design of algorithms
Optimizing Sorting with Genetic Algorithms
 In The International Symposium on Code Generation and Optimization
, 2005
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Algebra of logic programming
 International Conference on Logic Programming
, 1999
"... At present, the field of declarative programming is split into two main areas based on different formalisms; namely, functional programming, which is based on lambda calculus, and logic programming, which is based on firstorder logic. There are currently several language proposals for integrating th ..."
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Cited by 24 (4 self)
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At present, the field of declarative programming is split into two main areas based on different formalisms; namely, functional programming, which is based on lambda calculus, and logic programming, which is based on firstorder logic. There are currently several language proposals for integrating the expressiveness of these two models of computation. In this thesis we work towards an integration of the methodology from the two research areas. To this end, we propose an algebraic approach to reasoning about logic programs, corresponding to the approach taken in functional programming. In the first half of the thesis we develop and discuss a framework which forms the basis for our algebraic analysis and transformation methods. The framework is based on an embedding of definite logic programs into lazy functional programs in Haskell, such that both the declarative and the operational semantics of the logic programs are preserved. In spite of its conciseness and apparent simplicity, the embedding proves to have many interesting properties and it gives rise to an algebraic semantics of logic programming. It also allows us to reason about logic programs in a simple calculational style, using rewriting and the algebraic laws of combinators. In the embedding, the meaning of a logic program arises compositionally from the meaning of its constituent subprograms and the combinators that connect them. In the second half of the thesis we explore applications of the embedding to the algebraic transformation of logic programs. A series of examples covers simple program derivations, where our techniques simplify some of the current techniques. Another set of examples explores applications of the more advanced program development techniques from the Algebra of Programming by Bird and de Moor [18], where we expand the techniques currently available for logic program derivation and optimisation. To my parents, Sandor and Erzsebet. And the end of all our exploring Will be to arrive where we started And know the place for the first time.
Program Calculation Properties of Continuous Algebras
, 1991
"... Defining data types as initial algebras, or dually as final coalgebras, is beneficial, if not indispensible, for an algebraic calculus for program construction, in view of the nice equational properties that then become available. It is not hard to render finite lists as an initial algebra and, ..."
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Cited by 23 (2 self)
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Defining data types as initial algebras, or dually as final coalgebras, is beneficial, if not indispensible, for an algebraic calculus for program construction, in view of the nice equational properties that then become available. It is not hard to render finite lists as an initial algebra and, dually, infinite lists as a final coalgebra. However, this would mean that there are two distinct data types for lists, and then a program that is applicable to both finite and infinite lists is not possible, and arbitrary recursive definitions are not allowed. We prove the existence of algebras that are both initial in one category of algebras and final in the closely related category of coalgebras, and for which arbitrary (continuous) fixed point definitions ("recursion") do have a solution. Thus there is a single data type that comprises both the finite and the infinite lists. The price to be paid, however, is that partiality (of functions and values) is unavoidable.
Constructing induction rules for deductive synthesis proofs
 LFCS University of Edinburgh
, 2005
"... We describe novel computational techniques for constructing induction rules for deductive synthesis proofs. Deductive synthesis holds out the promise of automated construction of correct computer programs from specifications of their desired behaviour. Synthesis of programs with iteration or recursi ..."
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Cited by 17 (8 self)
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We describe novel computational techniques for constructing induction rules for deductive synthesis proofs. Deductive synthesis holds out the promise of automated construction of correct computer programs from specifications of their desired behaviour. Synthesis of programs with iteration or recursion requires inductive proof, but standard techniques for the construction of appropriate induction rules are restricted to recycling the recursive structure of the specifications. What is needed is induction rule construction techniques that can introduce novel recursive structures. We show that a combination of rippling and the use of metavariables as a leastcommitment device can provide such novelty. Key words: deductive synthesis, proof planning, induction, theorem proving, middleout reasoning. 1
Transforming Data by Calculation
 IN GTTSE’07, VOLUME 5235 OF LNCS
, 2008
"... This paper addresses the foundations of datamodel transformation. A catalog of data mappings is presented which includes abstraction and representation relations and associated constraints. These are justified in an algebraic style via the pointfreetransform, a technique whereby predicates are lif ..."
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Cited by 16 (7 self)
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This paper addresses the foundations of datamodel transformation. A catalog of data mappings is presented which includes abstraction and representation relations and associated constraints. These are justified in an algebraic style via the pointfreetransform, a technique whereby predicates are lifted to binary relation terms (of the algebra of programming) in a twolevel style encompassing both data and operations. This approach to data calculation, which also includes transformation of recursive data models into “flat ” database schemes, is offered as alternative to standard database design from abstract models. The calculus is also used to establish a link between the proposed transformational style and bidirectional lenses developed in the context of the classical viewupdate problem.