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International Conference on Testbeds and Research Infrastructures

TridentCom 2019: Testbeds and Research Infrastructures for the Development of Networks and Communications pp 150–160Cite as

Research Progress in the Processing of Crowdsourced Test Reports

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Abstract

In recent years, crowdsourced testing, which uses collective intelligence to solve complex software testing tasks has gained widespread attention in academia and industry. However, due to a large number of workers participating in crowdsourced testing tasks, the submitted test reports set is too large, making it difficult for developers to review test reports. Therefore, how to effectively process and integrate crowdsourced test reports is always a significant challenge in the crowdsourced testing process. This paper deals with the crowdsourced test reports processing, sorts out some achievements in this field in recent years, and classifies, summarizes, and compares existing research results from four directions: duplicated reports detection, test reports aggregation and classification, priority ranking, and reports summarization. Finally explored the possible research directions, opportunities and challenges of the crowdsourced test reports.

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Acknowledgment

This work is funded by National Key R&D Program of China (No. 2018YFB 1403400).

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Authors and Affiliations

  1. School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

    Naiqi Wang & Lizhi Cai

  2. Shanghai Key Laboratory of Computer Software Testing and Evaluating, Shanghai Development Center of Computer Software Technology, Shanghai, China

    Naiqi Wang, Lizhi Cai & Mingang Chen

  3. Shanghai Foreign Affairs Service Center, Shanghai, China

    Chuwei Zhang

Authors
  1. Naiqi Wang
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  2. Lizhi Cai
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  3. Mingang Chen
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  4. Chuwei Zhang
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Corresponding author

Correspondence to Mingang Chen .

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Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. School of Software, Central South University, Changsha, China

    Kuang Li

  3. Shanghai Polytechnic University, Shanghai, China

    Xiaoxian Yang

  4. Hangzhou Dianzi University, Hangzhou Shi, Zhejiang, China

    Yuyu Yin

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, N., Cai, L., Chen, M., Zhang, C. (2020). Research Progress in the Processing of Crowdsourced Test Reports. In: Gao, H., Li, K., Yang, X., Yin, Y. (eds) Testbeds and Research Infrastructures for the Development of Networks and Communications. TridentCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 309. Springer, Cham. https://doi.org/10.1007/978-3-030-43215-7_11

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  • DOI: https://doi.org/10.1007/978-3-030-43215-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43214-0

  • Online ISBN: 978-3-030-43215-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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