MLCQ: Industry-relevant code smell data set

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. 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' background and code smells' perception. <strong>If you use this data set please cite the following paper:</strong> Lech Madeyski and Tomasz Lewowski. MLCQ: Industry-relevant code smell data set. In <em>Evaluation and Assessment in Software Engineering (EASE2020)</em>, April 15–17, 2020, Trondheim, Norway.ACM, New York, NY, USA, 6 pages, DOI: 3383219.3383264 URL: https://doi.org/10.1145/3383219.3383264 Note: Pre-print should be available soon from http://madeyski.e-informatyka.pl