A Taxonomy of Data Quality Challenges in Empirical Software Engineering

Abstract

Reliable empirical models such as those used in software effort estimation or defect prediction are inherently dependent on the data from which they are built. As demands for process and product improvement continue to grow, the quality of the data used in measurement and prediction systems warrants increasingly close scrutiny. In this paper we propose a… (More)
DOI: 10.1109/ASWEC.2013.21

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Cite this paper

@article{Bosu2013ATO, title={A Taxonomy of Data Quality Challenges in Empirical Software Engineering}, author={Michael Franklin Bosu and Stephen G. MacDonell}, journal={2013 22nd Australian Software Engineering Conference}, year={2013}, pages={97-106} }