Modeling open source software bugs with complex networks

Cheng Nie, Daniel Zeng, Xiaolong Zheng, Fei Yue Wang, Huimin Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A major concern in open source software development is regarding bugs emerging during the life circle of a software project. Understanding the topological characteristics of interrelated bugs can provide useful insights into software project management and potentially facilitate the development of new complex network models. In this paper, we analyze the bug network in Gentoo Linux, one of the most popular Linux distributions. We model software bugs as nodes and the blocking relationships among them as edges. As the resulting Gentoo bug network cannot be adequately explained by some commonly-used complex network models, we propose a new model, which can better explain this network.

Original languageEnglish (US)
Title of host publicationProceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
Pages375-379
Number of pages5
DOIs
StatePublished - Oct 15 2010
Event2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 - QingDao, China
Duration: Jul 15 2010Jul 17 2010

Publication series

NameProceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010

Other

Other2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
CountryChina
CityQingDao
Period7/15/107/17/10

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research

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  • Cite this

    Nie, C., Zeng, D., Zheng, X., Wang, F. Y., & Zhao, H. (2010). Modeling open source software bugs with complex networks. In Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 (pp. 375-379). [5551550] (Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010). https://doi.org/10.1109/SOLI.2010.5551550