Software evolution and quality data from controlled, multiple, industrial case studies

2017-05-20

Presented at the IEEE/ACM International Conference on Mining Software Repositories (May 2017), Buenos Aires

Additional Metadata
Keywords	case study, code smells, empirical study, industrial data, moderator factors, replication, software defects, software evolution, software quality, software replicability
Persistent URL	doi.org/10.1109/MSR.2017.44
Conference	IEEE/ACM International Conference on Mining Software Repositories
Organisation	Software Analysis and Transformation
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Yamashita, A., Amirhossein, A., Khomh, F., & Guéhéneuc, Y.-G. (2017). Software evolution and quality data from controlled, multiple, industrial case studies. In IEEE International Working Conference on Mining Software Repositories (pp. 507–510). doi:10.1109/MSR.2017.44

Publication