Display issues, often arising from design inconsistencies or software problems, can have a significant impact on both user experience and system functionality. This study focuses on three primary challenges in the field of display issues: the absence of a standardized classification system, the limitations of existing detection tools, and the inadequacy of available data. To systematically address these challenges, we introduce a comprehensive Display Issue Analysis Framework (DIS). Utilizing this framework, we construct a comprehensive and industry-validated taxonomy for display issues. When evaluating the capabilities of existing detection tools and the completeness of available data against this taxonomy, we find that current mainstream tools can identify only 77% of the cataloged display issues. This finding suggests that, although the field has received some attention from the industry, there is still room for further improvement and research. This study not only deepens our understanding of the classification of display issues and the capabilities of detection tools, but also provides valuable insights for future research and applications in this domain.
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Nie et al. (2024) studied this question.
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