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Would the Patch Be Quickly Merged?

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Blockchain and Trustworthy Systems (BlockSys 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1156))

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Abstract

Code review is one of the most time-consuming and costly activities in modern software development. For the code submissions that can not be accepted by reviewers, developers need to re-modify the code again. Developers desire to minimize the time-cost that spends in the code review process. In some cases, a submission might be submitted many times and still not be accepted. The number of review times has serious implications for defect repairs and the progress of development. Therefore, a few recent studies focused on discussing factors that effect submission acceptance, while these prior studies did not try to predict submission acceptance or the number of review times. In this paper, we propose a novel method to predict the time-cost in code review before a submission is accepted. Our approach uses a number of features, including review meta-features, code modifying features and code coupling features, to better reflect code changes and review process. To examine the benefits of our method, we perform experiments on two large open source projects, namely Eclipse and OpenDaylight. Our results show that the proposed approach in the problem of predicting submission acceptance achieves an accuracy of 79.72%, 80.03% for Eclipse and OpenDaylight, respectively. For the prediction of review times ranges, our method achieves an accuracy of 66.42% and 60.42% for Eclipse and OpenDaylight, respectively.

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Notes

  1. 1.

    Gerrit, https://www.gerritcodereview.com/.

  2. 2.

    https://www.eclipse.org/.

  3. 3.

    https://www.opendaylight.org/.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (61902441, 61902105), China Postdoctoral Science Foundation (2018M640855).

Author information

Authors and Affiliations

  1. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China

    Yuan Huang, Xiaocong Zhou & Kai Hong

  2. Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, School of Communication and Design, Sun Yat-sen University, Guangzhou, 510006, China

    Xiangping Chen

  3. School of Management Science and Engineering, Hebei GEO University, Shijiazhuang, 050031, China

    Nan Jia

Authors
  1. Yuan Huang
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  2. Nan Jia
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  3. Xiaocong Zhou
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  4. Kai Hong
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  5. Xiangping Chen
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Corresponding author

Correspondence to Xiangping Chen .

Editor information

Editors and Affiliations

  1. Sun Yat-sen University, Guangzhou, China

    Zibin Zheng

  2. Macau University of Science and Technology, Macau, China

    Hong-Ning Dai

  3. Guangdong University of Foreign Studies, Guangzhou, China

    Mingdong Tang

  4. Sun Yat-sen University, Guangzhou, China

    Xiangping Chen

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Huang, Y., Jia, N., Zhou, X., Hong, K., Chen, X. (2020). Would the Patch Be Quickly Merged?. In: Zheng, Z., Dai, HN., Tang, M., Chen, X. (eds) Blockchain and Trustworthy Systems. BlockSys 2019. Communications in Computer and Information Science, vol 1156. Springer, Singapore. https://doi.org/10.1007/978-981-15-2777-7_37

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  • DOI: https://doi.org/10.1007/978-981-15-2777-7_37

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  • Print ISBN: 978-981-15-2776-0

  • Online ISBN: 978-981-15-2777-7

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