Latte: Use-Case and Assistive-Service Driven Automated Accessibility Testing Framework for Android

Latte: Use-Case and Assistive-Service Driven Automated Accessibility Testing Framework for Android
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Latte:用例和辅助服务驱动的 Android 自动辅助功能测试框架

DOI:
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发表时间:
2021
期刊:
International Conference on Human Factors in Computing Systems
影响因子:
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通讯作者:
S. Malek
S. Malek
中科院分区:
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文献类型:
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作者:
Navid Salehnamadi;Abdulaziz Alshayban;Jun;Iftekhar Ahmed;S. Branham;S. Malek

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对于世界残障人士的15%,可以说是最关键的软件质量属性。为了检测违反预定义的准则的行为,因此产生了大量的可访问性警告,这些警告通常会忽略软件实际上是由残疾的用户使用的。自动重复使用的测试来评估应用程序的功能正确性,以评估其访问性,首先提取与每个测试相对应的用例,然后以禁用用户的方式执行每个用例,即使用我们的经验评估在现实世界中,Android应用程序证明了拿铁在检测比以前的技术更有用的缺陷方面的有效性。
For 15% of the world population with disabilities, accessibility is arguably the most critical software quality attribute. The ever-growing reliance of users with disability on mobile apps further underscores the need for accessible software in this domain. Existing automated accessibility assessment techniques primarily aim to detect violations of predefined guidelines, thereby produce a massive amount of accessibility warnings that often overlook the way software is actually used by users with disability. This paper presents a novel, high-fidelity form of accessibility testing for Android apps, called Latte, that automatically reuses tests written to evaluate an app’s functional correctness to assess its accessibility as well. Latte first extracts the use case corresponding to each test, and then executes each use case in the way disabled users would, i.e., using assistive services. Our empirical evaluation on real-world Android apps demonstrates Latte’s effectiveness in detecting substantially more useful defects than prior techniques.
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DOI: 10.1145/3132525.3132547
发表时间: 2017
期刊: Proceedings of the ACM Conference on Computers and Accessibility (ASSETS 2017
影响因子: --
作者:
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影响因子: --
作者:
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