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Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation - A Case Study in the Netherlands., , , , , and . SummerSOC, volume 1603 of Communications in Computer and Information Science, page 79-98. Springer, (2022)Community Smell Detection and Refactoring in SLACK: The CADOCS Project., , , , , , and . ICSME, page 469-473. IEEE, (2022)Does source code quality reflect the ratings of apps?. MOBILESoft@ICSE, page 43-44. ACM, (2018)An extensive evaluation of ensemble techniques for software change prediction., and . J. Softw. Evol. Process., (2019)The Secret Life of Software Communities: What we Know and What we Don't Know., , and . BENEVOL, volume 2605 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Illicit Darkweb Classification via Natural-language Processing: Classifying Illicit Content of Webpages based on Textual Information., , and . SECRYPT, page 620-626. SCITEPRESS, (2022)Just-in-time defect prediction for Android apps via imbalanced deep learning model., , , , , and . SAC, page 1447-1454. ACM, (2021)Cross-project just-in-time bug prediction for mobile apps: an empirical assessment., , and . MOBILESoft@ICSE, page 99-110. IEEE / ACM, (2019)Developer-related factors in change prediction: an empirical assessment., , , , and . ICPC, page 186-195. IEEE Computer Society, (2017)A Set of Metrics for the Effort Estimation of Mobile Apps., , , and . MOBILESoft@ICSE, page 194-198. IEEE, (2017)