Laboratory of Software Comprehension, Analytics and Mining

Redocumenting APIs with crowd knowledge: a coverage analysis based on question types

This page provides companion data for the paper submitted to the Journal of the Brazilian Computer Society.

Authors

Fernanda Madeiral Delfim
Klérisson Vinícius Ribeiro Paixão
Damien Cassou
Marcelo de Almeida Maia

Companion data

Training sets for classification zip
Kappa statistic and disagreement analysis on the training sets built by manual classification zip
Evaluation of the classification algorithms zip
Mc Nemar’s test for the best classification algorithms zip
Linking approach evaluation zip
Coverage results zip
API usage zip



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Published paper at JBCS Springer Open

Redocumenting APIs with crowd knowledge: a coverage analysis based on question types) with Fernanda, Klérisson, Damien and Marcelo published at Journal of the Brazilian Computer Society (Dec.2016).

Google Research Award Latin America

The PhD thesis proposal "Automated construction of tutorials from Q&A sites" from Adriano Rocha has been awarded in August 03, 2016. 

Published paper at Journal of Software: Evolution and Process - Wiley

The paper "Searching Crowd Knowledge to Recommend Solutions for API Usage Tasks" with Eduardo Campos, Lucas Souza and Marcelo Maia has been published in October 2016.

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