Fuzzy Clustering of Crowdsourced Test Reports for Apps

@article{Jiang2018FuzzyCO,
  title={Fuzzy Clustering of Crowdsourced Test Reports for Apps},
  author={He Jiang and Xin Chen and Tieke He and Zhenyu Chen and Xiaochen Li},
  journal={ACM Trans. Internet Techn.},
  year={2018},
  volume={18},
  pages={18:1-18:28}
}
DevOps is a new approach to drive a seamless Application (App) cycle from development to delivery. As a critical part to promote the successful implementation of DevOps, testing can significantly improve team productivity and reliably deliver user experience. However, it is difficult to use traditional testing to cover diverse mobile phones, network environments, operating systems, and so on. Hence, many large companies crowdsource their App testing tasks to workers from open platforms. In… CONTINUE READING

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Key Quantitative Results

  • Experimental results over 1,728 test reports from five industrial Apps show that TERFUR can cluster test reports by up to 78.15% in terms of AverageP, 78.41% in terms of AverageR, and 75.82% in terms of AverageF1 and outperform comparative methods by up to 31.69%, 33.06%, and 24.55%, respectively.
  • Experimental results show that TERFUR can cluster test reports in terms of AverageP, AverageR, and AverageF1 by up to 78.15%, 78.41%, and 75.82% and outperform comparative methods by up to 31.69%, 33.06%, and 24.55%.

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