Personality Recognition Applying Machine Learning Techniques on Source Code Metrics

Hugo A. Castellanos
2016 Forum for Information Retrieval Evaluation  
Source code has become a data source of interest in the recent years. In the software industry is common the extraction of source code metrics, mainly for quality assurance purposes. In this paper source code metrics are used to consolidate programmers profiles with the purpose to identify different personality traits using machine learning algorithms. This work was done as part of the Personality Recognition in SOurce COde (PR-SOCO) shared task in the Forum for Information Retrieval Evaluation
more » ... 2016 (FIRE 2016). CCS Concepts •Information systems → Content analysis and feature selection; •Computing methodologies → Supervised learning by regression; Cluster analysis; •General and reference → Metrics; •Software and its engineering → Parsers;
dblp:conf/fire/Castellanos16 fatcat:n6tlknsa6ngibhamgl26vfagnq