A Hybrid Approach for Tag Hierarchy Construction

Wang, Shangwen; Wang, Tao; Mao, Xiaoguang; Yin, Gang; Yu, Yue

doi:10.1007/978-3-319-90421-4_4

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Reuse in open-source environment has been studied since the rise of the open-source movement. Kim et al [30] proposed a comprehensive procedure including 4 steps and 11 activities for guiding how to reuse open-source software (OSS); Aggarwal et al [1] proposed a metric for evaluating the independence of a software component which can in turn access the degree of its reusability and this work was reinforced by [31] by synthesizing various software metrics that cover a number of related reusability aspects; there are also some researchers [32], [33] working on building tag hierarchies for better organizing and managing the huge amount information in the open-source communities. Recently, code recommendation based on OSS has achieved great success.…”

Section: Related Work a Reuse In Open-source Softwarementioning

confidence: 99%

Dissection on Java Organs in GitHub Repositories

Wang¹,

Mao²,

Yi³

2019

IEEE Access

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Organ transplantation has brought convenience for software reuse and evolution since it was proposed. However, studies about mature, high-quality organs are still insufficient. It is still unclear about the detailed characteristics of organs in the open-source environment. In this paper, we look deep into organs obtained from software evolution processes of the ten large-scale Java repositories hosted on GitHub, aiming at providing practical information for utilizing organs in the open-source environment. We found that: 1) commits use add as a keyword in their comments possess the most organs, occupying 38% of the total amount, but commits with the keyword fix possess the highest locating accuracy (about 57%); 2) developers prefer to add new classes when they bring new functionalities to the projects in that the proportion of class level organs is 40%, more than statement level organs' and function level organs' (35% and 25%, respectively); 3) nearly 70% of the total amount are cross-file organs with the median of the number of files each organ spans reaching three and the average of this value being around four; 4) a small number (0.55%) of organs are multi-commit; 5) more than 40% of code reuse in the open-source software can be finished by organ transplantation. Based on our findings, we highlight implications for future studies and design the mode of using organs to conduct code reuse.

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