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Logic-Based Program Synthesis and Transformation

Overview of attention for book
Cover of 'Logic-Based Program Synthesis and Transformation'

Table of Contents

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    Book Overview
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    Chapter 1 Proof Checking and Logic Programming
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    Chapter 2 On Dual Programs in Co-Logic Programming
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    Chapter 3 Equational Formulas and Pattern Operations in Initial Order-Sorted Algebras
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    Chapter 4 Compiling Collapsing Rules in Certain Constructor Systems
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    Chapter 5 From Boolean Equalities to Constraints
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    Chapter 6 A Type-Theoretic Approach to Resolution
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    Chapter 7 A Typed Language for Events
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    Chapter 8 Applying Sorting Networks to Synthesize Optimized Sorting Libraries
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    Chapter 9 Impact of Accuracy Optimization on the Convergence of Numerical Iterative Methods
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    Chapter 10 Abstract Analysis of Universal Properties for tccp
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    Chapter 11 A Global Occurrence Counting Analysis for Brane Calculi
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    Chapter 12 Using Dynamic Pushdown Networks to Automate a Modular Information-Flow Analysis
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    Chapter 13 Checking Java Assertions Using Automated Test-Case Generation
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    Chapter 14 A Generic Intermediate Representation for Verification Condition Generation
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    Chapter 15 Combining Top-Down and Bottom-Up Techniques in Program Derivation
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    Chapter 16 Logic-Based Program Synthesis and Transformation
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    Chapter 17 Concolic Execution in Functional Programming by Program Instrumentation
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    Chapter 18 Memory Policy Analysis for Semantics Specifications in Maude
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    Chapter 19 SHIP - A Logic-Based Language and Tool to Program Smart Environments
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    Chapter 20 Correctness of Context-Moving Transformations for Term Rewriting Systems
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    Chapter 21 Why CP Portfolio Solvers Are (under)Utilized? Issues and Challenges
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    Chapter 22 CHR in Action
Overall attention for this book and its chapters
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Mentioned by

7 tweeters
1 Redditor

Readers on

6 Mendeley
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Logic-Based Program Synthesis and Transformation
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-27436-2
978-3-31-927435-5, 978-3-31-927436-2

Moreno Falaschi

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Student > Bachelor 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 3 50%
Engineering 2 33%
Unknown 1 17%