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]
@inproceedings{CanforaCCP10,
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},
year = {2010},
doi = {10.1109/ICSM.2010.5609732},
url = {http://dx.doi.org/10.1109/ICSM.2010.5609732},
tags = {empirical, rule-based, rules},
researchr = {https://researchr.org/publication/CanforaCCP10},
cites = {0},
citedby = {0},
pages = {1-10},
booktitle = {26th IEEE International Conference on Software Maintenance (ICSM 2010), September 12-18, 2010, Timisoara, Romania},
publisher = {IEEE Computer Society},
isbn = {978-1-4244-8630-4},
}