MLCQ: Industry-relevant code smell data set

<p>The MLCQ data set with nearly 15000 code samples was created by software developers with professional experience who reviewed industry-relevant, contemporary Java open source projects.&nbsp;</p> <p>We expect that this data set should stay relevant for a longer time than data sets that base on code released years ago and, additionally, will enable researchers to investigate the relationship between developers&#39; background and code smells&#39; perception.</p> <p><strong>If you use this data set please cite the following paper:</strong></p> <p>Lech Madeyski and Tomasz Lewowski. MLCQ: Industry-relevant code smell data set. In <em>Evaluation and Assessment in Software Engineering (EASE2020)</em>, April 15&ndash;17, 2020, Trondheim, Norway.ACM, New York, NY, USA, 6 pages, DOI:&nbsp;<a href="https://doi.org/10.1145/3383219.3383264">3383219.3383264</a>&nbsp;URL:&nbsp;https://doi.org/10.1145/3383219.3383264</p> <p>Note:&nbsp;Pre-print should be available soon from <a href="http://madeyski.e-informatyka.pl">http://madeyski.e-informatyka.pl</a></p>