Detecting Variability in MATLAB/Simulink Models: An Industry-Inspired Technique and its Evaluation. Schlie, A., Wille, D., Schulze, S., Cleophas, L., & Schaefer, I. In Cohen, M. B., Acher, M., Fuentes, L., Schall, D., Bosch, J., Capilla, R., Bagheri, E., Xiong, Y., Troya, J., Cortés, A. R., & Benavides, D., editors, Proceedings of the 21st International Systems and Software Product Line Conference, SPLC 2017, Volume A, Sevilla, Spain, September 25-29, 2017, pages 215–224, 2017. ACM. Paper doi bibtex @inproceedings{DBLP:conf/splc/SchlieWSCS17,
author = {Alexander Schlie and
David Wille and
Sandro Schulze and
Loek Cleophas and
Ina Schaefer},
editor = {Myra B. Cohen and
Mathieu Acher and
Lidia Fuentes and
Daniel Schall and
Jan Bosch and
Rafael Capilla and
Ebrahim Bagheri and
Yingfei Xiong and
Javier Troya and
Antonio Ruiz Cort{\'{e}}s and
David Benavides},
title = {Detecting Variability in MATLAB/Simulink Models: An Industry-Inspired
Technique and its Evaluation},
booktitle = {Proceedings of the 21st International Systems and Software Product
Line Conference, {SPLC} 2017, Volume A, Sevilla, Spain, September
25-29, 2017},
pages = {215--224},
publisher = {{ACM}},
year = {2017},
url = {https://doi.org/10.1145/3106195.3106225},
doi = {10.1145/3106195.3106225},
timestamp = {Sun, 25 Oct 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/splc/SchlieWSCS17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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