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Cited by 5

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An Empirical Analysis of Compatibility Issues for Industrial Mobile Games (Practical Experience Report)

Song, Zihe, Chen, Yingfeng, Ma, Lei, Lu, Shangjie, Lin, Honglei, Fan, Changjie, Yang, Wei·2022·2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE)
DOI 10.1109/issre55969.2022.00030
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Cited by 5

Research works printed but not linked: 31

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  30. liu, 2020, Owl Eyes: Spotting UI Display Issues via Visual Understanding, IEEE/ACM Int Conference on Automated Software Engineering (ASE), 398, 10.1145/3324884.3416547 · DOI
  31. 10.1145/3278186.3278187 · doi:10.1145/3278186.3278187

Metadata

Authors
Song, Z., Chen, Y., Ma, L., Lu, S., Lin, H., Fan, C., & Yang, W.
Venue
2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE)
Publisher
IEEE
Published
2022-10
Pages
217-228
DOI
10.1109/issre55969.2022.00030
Cited by
5
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CoChat. (2026). Citation check: An Empirical Analysis of Compatibility Issues for Industrial Mobile Games (Practical Experience Report). https://app.cochat.ai/papers/10.1109/issre55969.2022.00030
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Song, Z., Chen, Y., Ma, L., Lu, S., Lin, H., Fan, C., & Yang, W. (2022). An Empirical Analysis of Compatibility Issues for Industrial Mobile Games (Practical Experience Report). 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE). https://doi.org/10.1109/issre55969.2022.00030

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.