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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)Bayesian Networks For Evidence-Based Decision-Making in Software Engineering., and . IEEE Trans. Software Eng., 40 (6): 533-554 (2014)A survey on project factors that motivate Finnish software engineers., , , and . RCIS, page 1-9. IEEE, (2014)Dione: an integrated measurement and defect prediction solution., , , , , and . SIGSOFT FSE, page 20. ACM, (2012)AI-Based Software Defect Predictors: Applications and Benefits in a Case Study., , and . AI Mag., 32 (2): 57-68 (2011)A mapping study on bayesian networks for software quality prediction., and . RAISE, page 7-11. ACM, (2014)Field Studies - A Methodology for Construction and Evaluation of Recommendation Systems in Software Engineering., , , , and . Recommendation Systems in Software Engineering, Springer, (2014)Experiences on Developer Participation and Effort Estimation., , , and . EUROMICRO-SEAA, page 419-422. IEEE Computer Society, (2011)Towards an operationalization of test-driven development skills: An industrial empirical study, , , , , and . Information and Software Technology, (2015)Field Studies - A Methodology for Construction and Evaluation of Recommendation Systems in Software Engineering, , , , and . Recommendation Systems in Software Engineering, Springer Berlin Heidelberg, (2014)