Abstract
Successful software measurement and model building require effective strategies for data collection, analysis, and sharing. We summarize a template for data sharing arrangements, apply this template to two data collection environments, and illustrate the resulting data analyses using actual empirical studies.
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Selby, R.W. (2007). Data Collection, Analysis, and Sharing Strategies for Enabling Software Measurement and Model Building. In: Basili, V.R., Rombach, D., Schneider, K., Kitchenham, B., Pfahl, D., Selby, R.W. (eds) Empirical Software Engineering Issues. Critical Assessment and Future Directions. Lecture Notes in Computer Science, vol 4336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71301-2_22
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DOI: https://doi.org/10.1007/978-3-540-71301-2_22
Publisher Name: Springer, Berlin, Heidelberg
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