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For the purpose of creating software defect metrics, data from software repositories such as code complexity and change records is used to build machine learning classifiers that can detect problematic code snippets. For IT SME's, this study piece aims to provide light on the correlations between numerous variables. The data is analysed and interpreted with the aid of IBM SPSS and a well-structured questionnaire.