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Supporting maintenance and testing for AI functions of mobile apps based on user reviews: An empirical study on plant identification apps.

, , , и . J. Softw. Evol. Process., (ноября 2023)

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Другие публикации лиц с тем же именем

Identifying security issues for mobile applications based on user review summarization., , и . Inf. Softw. Technol., (2020)A Deep Reinforcement Learning-Based Approach for Android GUI Testing., , , и . APWeb/WAIM (3), том 13423 из Lecture Notes in Computer Science, стр. 262-276. Springer, (2022)Supporting maintenance and testing for AI functions of mobile apps based on user reviews: An empirical study on plant identification apps., , , и . J. Softw. Evol. Process., (ноября 2023)Recovering Semantic Traceability between Requirements and Source Code Using Feature Representation Techniques., , , и . QRS, стр. 873-882. IEEE, (2021)A reinforcement learning-based approach to testing GUI of moblie applications., , , , и . World Wide Web (WWW), 27 (2): 16 (марта 2024)MT4ImgRec: A Metamorphic Testing Tool for Image Recognition Software., , и . SEKE, стр. 636. KSI Research Inc., (2021)Semantic Feature Learning based on Double Sequences Structure for Software Defect Number Prediction., , , и . QRS, стр. 157-166. IEEE, (2022)Multi-Objective White-Box Test Input Selection for Deep Neural Network Model Enhancement., , и . ISSRE, стр. 521-532. IEEE, (2023)LCVD: Loop-oriented code vulnerability detection via graph neural network., , и . J. Syst. Softw., (августа 2023)FATS: Feature Distribution Analysis-Based Test Selection for Deep Learning Enhancement., , , , и . IEEE Trans. Big Data, 10 (2): 132-145 (апреля 2024)