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Regular Paper

Understanding and Detecting Inefficient Image Displaying Issues in Android Apps

State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210023, China
Department of Computer Science and Technology, Nanjing University, Nanjing 210023, China
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Abstract

Mobile applications (apps for short) often need to display images. However, inefficient image displaying (IID) issues are pervasive in mobile apps, and can severely impact app performance and user experience. This paper first establishes a descriptive framework for the image displaying procedures of IID issues. Based on the descriptive framework, we conduct an empirical study of 216 real-world IID issues collected from 243 popular open-source Android apps to validate the presence and severity of IID issues, and then shed light on these issues’ characteristics to support research on effective issue detection. With the findings of this study, we propose a static IID issue detection tool TAPIR and evaluate it with 243 real-world Android apps. Encouragingly, 49 and 64 previously-unknown IID issues in two different versions of 16 apps reported by TAPIR are manually confirmed as true positives, respectively, and 16 previously-unknown IID issues reported by TAPIR have been confirmed by developers and 13 have been fixed. Then, we further evaluate the performance impact of these detected IID issues and the performance improvement if they are fixed. The results demonstrate that the IID issues detected by TAPIR indeed cause significant performance degradation, which further show the effectiveness and efficiency of TAPIR.

Keywords

Android application (app)inefficient image displaying (IID)performanceempirical studystatic analysis

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Journal of Computer Science and Technology
Volume 39 Issue 2,
March 2024
Pages 434-459
DOI: 10.1007/s11390-022-1670-3
Cite this article:
Li W-J, Ma J, Jiang Y-Y, et al. Understanding and Detecting Inefficient Image Displaying Issues in Android Apps. Journal of Computer Science and Technology, 2024, 39(2): 434-459. https://doi.org/10.1007/s11390-022-1670-3

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Received: 01 June 2021
Accepted: 05 June 2022
Published: 30 March 2024
© Institute of Computing Technology, Chinese Academy of Sciences 2024
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