Code Smells Dataset (oracles)

This repository contains the datasets, obtained in 3 years, resulting from the Crowdsmelling methodology.<br> Each file contains the dataset (oracle) of the year or set of years, for the code smells Long Method, God Class, and Feature Envy. The file Exercise-Code smells detection (ESII 2020).pdf describes the exercise used in the validation of code smells, and the file code-classification-statistics.csv shows statistics about the percentages of teams that classified the methods and classes. More information about the datasets can be found in the article: Reis, José Pereira dos , Abreu, Fernando Brito e . &amp; Carneiro, Glauco de Figueiredo. Crowdsmelling: A preliminary study on using collective knowledge in code smells detection. <em>Empir Software Eng</em> <strong>27, </strong>69 (2022). https://doi.org/10.1007/s10664-021-10110-5 DATASET STRUCTURE<br> - project name<br> - package name<br> - class name<br> - method name<br> - code metrics [1]<br> - code smell classification REFERENCES [1] Metrics description can be found in the study: "Fontana, F. A., Mantyla, M. V., Zanoni, M., and Marino, A. (2015), Comparing and experimenting machine learning techniques for code smell detection, Empirical Software Engineering"