Hacking an Ambiguity Detection Tool to Extract Variation Points: an Experience Report. Fantechi, A., Ferrari, A., Gnesi, S., & Semini, L. In Capilla, R., Lochau, M., & Fuentes, L., editors, Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems, VAMOS 2018, Madrid, Spain, February 7-9, 2018, pages 43–50, 2018. ACM.
Hacking an Ambiguity Detection Tool to Extract Variation Points: an Experience Report [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/vamos/FantechiFGS18,
    author = "Fantechi, Alessandro and Ferrari, Alessio and Gnesi, Stefania and Semini, Laura",
    editor = "Capilla, Rafael and Lochau, Malte and Fuentes, Lidia",
    title = "Hacking an Ambiguity Detection Tool to Extract Variation Points: an Experience Report",
    booktitle = "Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems, {VAMOS} 2018, Madrid, Spain, February 7-9, 2018",
    pages = "43--50",
    publisher = "{ACM}",
    year = "2018",
    url = "https://doi.org/10.1145/3168365.3168381",
    doi = "10.1145/3168365.3168381",
    timestamp = "Tue, 09 Jun 2020 01:00:00 +0200",
    biburl = "https://dblp.org/rec/conf/vamos/FantechiFGS18.bib",
    bibsource = "dblp computer science bibliography, https://dblp.org"
}

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