Code Smells Dataset (oracles)

<p>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.</p> <p>More information about the datasets can be found in the article:</p> <p>Reis, Jos&eacute; Pereira dos , Abreu, Fernando Brito e . &amp; Carneiro, Glauco de Figueiredo. &nbsp; Crowdsmelling: A preliminary study on using collective knowledge in code smells detection.&nbsp;<em>Empir Software Eng</em>&nbsp;<strong>27,&nbsp;</strong>69 (2022). https://doi.org/10.1007/s10664-021-10110-5</p> <p>DATASET STRUCTURE<br> &nbsp; - project name<br> &nbsp; - package name<br> &nbsp; - class name<br> &nbsp; - method name<br> &nbsp; - code metrics [1]<br> &nbsp; - code smell classification</p> <p>&nbsp;</p> <p>REFERENCES</p> <p>[1] Metrics description can be found in the study: &quot;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&quot;</p> <p>&nbsp;</p>