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Program Analysis and Evaluation using Quimera.

Authors: Fonte, Daniela; Vilas Boas, Ismael; Cruz, Daniela da; Gançarski, Alda Lopes; Henriques, Pedro Rangel;

Program Analysis and Evaluation using Quimera.

Abstract

During last years, a new challenge rose up inside the programming communities: the programming contests. Programming contests can vary slightly in the rules but all of them are intended to assess the competitor skills concerning the ability to solve problems using a computer. These contests raise up three kind of challenges: to create a nice problem statement (for the members of the scientific committee); to solve the problem in a good way (for the programmers); to find a fair way to assess the results (for the judges). This paper presents a web-based application, QUIMERA intended to be a full programming-contest management system, as well as an automatic judge. Besides the traditional dynamic approach for program evaluation, QUIMERA still provides static analysis of the program for a more fine assessment of solutions. Static analysis takes profit from the technology developed for compilers and language-based tools and is supported by source code analysis and software metrics.

Country
Portugal
Keywords

Automatic grading system, Contest management, Automatic judgement, Program evaluation

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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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!
0
Average
Average
Average
Green