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EvoSpex: An Evolutionary Algorithm for Learning Postconditions

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 22 Jan 2021Publisher:Zenodo
Authors: Facundo Molina (10028048); Pablo Ponzio (10028051); Nazareno Aguirre (10028054); Marcelo Frias (10028057);

doi: 10.5281/zenodo.4458256 , 10.5281/zenodo.4458255

EvoSpex: An Evolutionary Algorithm for Learning Postconditions

Abstract

This contains the replication package of our submission to ICSE 2021

Keywords

Evolutionary Biology, ICSE, replication package, submission, Information Systems not elsewhere classified, Biophysics, Evolutionary Algorithm, Biochemistry, Learning Postconditions, Mental Health, EvoSpex, Physical Sciences not elsewhere classified, Biological Sciences not elsewhere classified

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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!
views
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3