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Objective - to assess the extent and types of techniques used to manage quality within software engineering data sets. It considers this a particularly interesting question in the context of initiatives to promote sharing and secondary analysis of data sets. Method - This paper performs a systematic review of available empirical software engineering studies. Results - only 23 out of the many hundreds of studies assessed, explicitly considered data quality. Conclusion - first, the community needs to consider the quality and appropriateness of the data set being utilised; not all data sets are equal.
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