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  Mode Analysis of Functional Logic Programs

Hanus, M., & Zartmann, F. (1994). Mode Analysis of Functional Logic Programs. In B. Le Charlier (Ed.), Proceedings of the 1st International Static Analysis Symposium (SAS'94) (pp. 26-42). Berlin, Germany: Springer.

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 Creators:
Hanus, Michael1, Author           
Zartmann, Frank1, Author           
Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: Functional logic languages amalgamate functional and logic programming paradigms. They can be efficiently implemented by extending techniques known from logic programming. Such implementations can be largely improved if information about the run-time behavior, in particular the modes of function calls, is available at compile time. In this paper we present a framework to derive such global information. The concrete operational semantics considered in this paper is normalizing innermost narrowing, which combines the deterministic reduction principle of functional languages with the nondeterministic search principle of logic languages. Due to the normalization process between narrowing steps, standard analysis frameworks for logic programming cannot be applied. Therefore we develop new techniques to correctly approximate the effect of the intermediate normalization process.

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Language(s): eng - English
 Dates: 2010-03-121994
 Publication Status: Issued
 Pages: -
 Publishing info: Berlin, Germany : Springer
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 519544
Other: Local-ID: C1256104005ECAFC-72B5595562EC388DC1256144006223CA-HanusZartmann94SAS
 Degree: -

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Title: Untitled Event
Place of Event: Namur, Belgium
Start-/End Date: 1994

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Title: Proceedings of the 1st International Static Analysis Symposium (SAS'94)
Source Genre: Proceedings
 Creator(s):
Le Charlier, Baudouin, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 26 - 42 Identifier: -

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Title: Lecture Notes in Computer Science
Source Genre: Series
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