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Electronic Notes in Theoretical Computer Science
Article . 2007 . Peer-reviewed
License: CC BY NC ND
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A Framework for Interpreting Traces of Functional Logic Computations

Authors: Braßel, Bernd;

A Framework for Interpreting Traces of Functional Logic Computations

Abstract

AbstractThis paper is part of a comprehensive approach to debugging for functional logic languages. The basic idea of the whole project is to trace the execution of functional logic programs by side effects and then give different views on the recorded data. In this way well known debugging techniques like declarative debugging, expression observation, redex trailing but also step-by-step debuggers and cost center oriented symbolic profiling can be implemented as special views on the recorded data. In addition, creating new views for special debugging purposes should be easy to implement. This is where the contribution of this work sets in. We describe how the recorded data is interpreted and preprocessed in order to yield an extremely simple yet versatile interface to base the different views on. Using this interface, formulating the basic functionality of declarative debugging, for example, is a matter of a few lines.

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Keywords

functional logic programming, debugging, Theoretical Computer Science, Computer Science(all)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold