Using multivariate time series and association rules to detect logical change coupling: An empirical study

Gerardo Canfora, Michele Ceccarelli, Luigi Cerulo, Massimiliano Di Penta. Using multivariate time series and association rules to detect logical change coupling: An empirical study. In 26th IEEE International Conference on Software Maintenance (ICSM 2010), September 12-18, 2010, Timisoara, Romania. pages 1-10, IEEE Computer Society, 2010. [doi]

Authors

Gerardo Canfora

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Michele Ceccarelli

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Luigi Cerulo

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Massimiliano Di Penta

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