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An algorithmic approach to missing data problem in modeling human aspects in software development., and . PROMISE, page 10:1-10:10. ACM, (2013)Empirical analyses of the factors affecting confirmation bias and the effects of confirmation bias on software developer/tester performance., and . PROMISE, page 10. ACM, (2010)Interpersonal Conflicts During Code Review., , and . CoRR, (2022)Preliminary analysis of the effects of confirmation bias on software defect density., and . ESEM, ACM, (2010)The effect of granularity level on software defect prediction., , , and . ISCIS, page 531-536. IEEE, (2009)Personal informatics for non-geeks: lessons learned from ordinary people., , , , and . UbiComp Adjunct, page 683-686. ACM, (2014)Less is More: Supporting Developers in Vulnerability Detection during Code Review., , , and . CoRR, (2022)Lessons Learned from Software Analytics in Practice., , , , and . The Art and Science of Analyzing Software Data, Morgan Kaufmann / Elsevier, (2015)Modeling Human Aspects to Enhance Software Quality Management., , , and . ICIS, Association for Information Systems, (2012)Empirical Analysis of Hidden Technical Debt Patterns in Machine Learning Software., and . PROFES, volume 11915 of Lecture Notes in Computer Science, page 195-202. Springer, (2019)