Using multivariate time series and association rules to detect logical change coupling: An empirical study
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Gerardo Canfora, Michele Ceccarelli, Luigi Cerulo, Massimiliano Di Penta
Using multivariate time series and association rules to detect logical change coupling: An empirical study
ICSME, 2010.

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@inproceedings{ICSM-2010-CanforaCCP,
	author        = "Gerardo Canfora and Michele Ceccarelli and Luigi Cerulo and Massimiliano Di Penta",
	booktitle     = "{Proceedings of the 26th International Conference on Software Maintenance}",
	doi           = "10.1109/ICSM.2010.5609732",
	isbn          = "978-1-4244-8630-4",
	pages         = "1--10",
	publisher     = "{IEEE Computer Society}",
	title         = "{Using multivariate time series and association rules to detect logical change coupling: An empirical study}",
	year          = 2010,
}

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