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Empirical evaluation of the effects of mixed project data on learning defect predictors, , and . Information and Software Technology, 55 (6): 1101 - 1118 (2013)Adjusting the Balance Sheet by Appending Technical Debt., and . MTD@ICSME, page 36-39. IEEE Computer Society, (2016)An algorithmic approach to missing data problem in modeling human aspects in software development., and . PROMISE, page 10:1-10:10. ACM, (2013)A replication study: mining a proprietary temporal defect dataset., , , and . SWAN@SIGSOFT FSE, page 15-21. ACM, (2016)Predicting Commentaries on a Financial Report with Recurrent Neural Networks., , and . Canadian Conference on AI, volume 11489 of Lecture Notes in Computer Science, page 531-542. Springer, (2019)Applications of Feature Selection Techniques on Large Biomedical Datasets., , and . Canadian Conference on AI, volume 11489 of Lecture Notes in Computer Science, page 543-548. Springer, (2019)Predictive modeling of lapse risk: An international financial services case study., , , and . SMC, page 16-21. IEEE, (2017)A success story in applying data science in practice., , , , and . Perspectives on Data Science for Software Engineering, Academic Press, (2016)Issue ownership activity in two large software projects., and . ACM SIGSOFT Softw. Eng. Notes, 37 (6): 1-7 (2012)Lessons Learned from Software Analytics in Practice., , , , and . The Art and Science of Analyzing Software Data, Morgan Kaufmann / Elsevier, (2015)