Within-ecosystem issue linking: a large-scale study of rails-Reference-Cited by-同舟云学术

Within-ecosystem issue linking: a large-scale study of rails

Published:2018-09-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Workshop on Software Mining
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Author:

Zhang Yang¹,Yu Yue¹,Wang Huaimin¹,Vasilescu Bogdan²,Filkov Vladimir³

Affiliation:

1. National University of Defense Technology, China

2. Carnegie Mellon University, USA

3. University of California at Davis, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3242887.3242891

Reference21 articles.

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2. Kelly Blincoe Francis Harrison and Daniela Damian. 2015. Ecosystems in GitHub and a method for ecosystem identification using reference coupling. In MSR. IEEE 202–207. Kelly Blincoe Francis Harrison and Daniela Damian. 2015. Ecosystems in GitHub and a method for ecosystem identification using reference coupling. In MSR. IEEE 202–207.

3. Vincent Boisselle and Bram Adams. 2015. The impact of cross-distribution bug duplicates empirical study on Debian and Ubuntu. In SCAM. IEEE 131–140. Vincent Boisselle and Bram Adams. 2015. The impact of cross-distribution bug duplicates empirical study on Debian and Ubuntu. In SCAM. IEEE 131–140.

4. Jordi Cabot Javier Luis Cánovas Izquierdo Valerio Cosentino and Belén Rolandi. 2015. Exploring the use of labels to categorize issues in open-source software projects. In SANER. IEEE 550–554. Jordi Cabot Javier Luis Cánovas Izquierdo Valerio Cosentino and Belén Rolandi. 2015. Exploring the use of labels to categorize issues in open-source software projects. In SANER. IEEE 550–554.

5. Social interactions around cross-system bug fixings

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