Automated GUI widgets classification

Kabir Sulaiman SAID; Liming NIE; Yuanchang LIN; Yaowen ZHENG; Zuohua DING

doi:10.1007/s11704-022-2076-7

PDF(358 KB)

Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (1) : 171211. DOI: 10.1007/s11704-022-2076-7

Software

LETTER

Automated GUI widgets classification

Author information +

History +

Cite this article

EndNote

Ris (Procite)

Bibtex

Download citation ▾

Kabir Sulaiman SAID, Liming NIE, Yuanchang LIN, Yaowen ZHENG, Zuohua DING. Automated GUI widgets classification. Front. Comput. Sci., 2023, 17(1): 171211 https://doi.org/10.1007/s11704-022-2076-7

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	Moran K, Bernal-Cárdenas C, Curcio M, Bonett R, Poshyvanyk D . Machine learning-based prototyping of graphical user interfaces for mobile apps. IEEE Transactions on Software Engineering, 2020, 46( 2): 196–221

[2]

Chen J, Xie M, Xing Z, Chen C, Xu X, Zhu L, Li G. Object detection for graphical user interface: old fashioned or deep learning or a combination?. In: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 2020, 1202−1214

[3]	Said K S, Nie L, Ajibode A A, Zhou X. GUI testing for mobile applications: objectives, approaches and challenges. In: Proceedings of the 12th Asia-Pacific Symposium on Internetware. 2020, 51−60

[4]	Chen C, Feng S, Xing Z, Liu L, Zhao S, Wang J. Gallery dc: Design search and knowledge discovery through auto-created gui component gallery. Proceedings of the ACM on Human-Computer Interaction, 2019, 3(CSCW): 1−22

[5]	Liu H, Simonyan K, Yang Y. DARTS: differentiable architecture search. In: Proceedings of the 7th International Conference on Learning Representations. 2019

[6]	Xu Y, Xie L, Zhang X, Chen X, Qi G J, Tian Q, Xiong H. PC-DARTS: partial channel connections for memory-efficient architecture search. In: Proceedings of the 8th International Conference on Learning Representations. 2020

Acknowledgements

This work was supported by the National Nature Science Foundation of China (Grant Nos. 61972359, 62132014), the Zhejiang Provincial Natural Science Foundation of China (LY19F020052), and Zhejiang Provincial Key Research and Development Program of China (2022C01045).