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. If you use this data set please cite the following paper: Lech Madeyski and Tomasz Lewowski. MLCQ: Industry-relevant code smell data set. In Evaluation and Assessment in Software Engineering (EASE2020), 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.plThis work has been supported by the National Centre for Research and Development (NCBR) project POIR.01.01.01-00-0792/1