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Journal of Computer Science
Article . 2010 . Peer-reviewed
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Journal of Computer Science
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A Free Educational Java Framework for Graph Algorithms

Authors: G. Costa; D'AMBROSIO, CLAUDIA; MARTELLO, SILVANO;

A Free Educational Java Framework for Graph Algorithms

Abstract

Problem statement: In the teaching of graph theory algorithms it is im portant that students can experiment them on numerical instances in order to fully understand their logical meaning and to learn how they can be implemented. Approach: We developed an open source Java framework to help students in their approach to the study of graph al gorithms. The framework was implemented so as to be portable and easy to use. In addition, we includ ed a library that anyone can easily use to develop custom algorithms. Results: The framework, which is currently in use at the Uni versity of Bologna, and is available on-line, presently includes four b asic algorithms in graph theory, for the solution t he following problems: shortest spanning tree, shortes t paths, maximum flow, and critical path. It includ es an intuitive graphical user interface, and gives th e users the possibility of performing a "step-by-st ep" execution. Conclusions: The presented Java framework constitutes a first st ep towards the implementation of didactical instruments for the teaching of graph theory. Future developments will also include a new major release and an implementat ion targeting the Microsoft. NET framework.

Keywords

COMPUTER-AIDED EDUCATION; VISUALIZATION; GRAPH THEORY; ALGORITHMS

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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