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

@article{Canfora2010UsingMT,
  title={Using multivariate time series and association rules to detect logical change coupling: An empirical study},
  author={Gerardo Canfora and Michele Ceccarelli and Luigi Cerulo and Massimiliano Di Penta},
  journal={2010 IEEE International Conference on Software Maintenance},
  year={2010},
  pages={1-10}
}
In recent years, techniques based on association rules discovery have been extensively used to determine change-coupling relations between artifacts that often changed together. Although association rules worked well in many cases, they fail to capture logical coupling relations between artifacts modified in subsequent change sets. 
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