QADroid: regression event selection for Android applications

Aman Sharma, R. Nasre
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引用次数: 10

Abstract

Popular Android applications undergo frequent releases. Ensuring functional testing of the new features, as well as regression testing of the previous functionality, are time-consuming and error-prone. Thus, there is a need for a tool that eases the testing efforts as well as saves the overall time of the product release cycle. In this work, we present QADroid, the first activity- and event-aware regression selection tool for Android apps. Salient features of QADroid are: (i) a richer change-set analyzer that covers code as well as non-code components for regression, (ii) it presents a pictorial representation of the app’s functioning, and (iii) it displays the regression points in the app as a mapping between activities to user-elements to events. Features (ii) and (iii) help the testers in understanding the technical findings better. We evaluated QADroid on 1105 releases of 50 open source Android projects. The results show that QADroid reduced the activity selection by 58% and event selection by 74% compared to the traditional way of exhaustive testing of all activities and events, thereby significantly reducing the manual testing efforts.
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QADroid: Android应用的回归事件选择
流行的Android应用程序频繁发布。确保对新特性进行功能测试,以及对以前的功能进行回归测试,既耗时又容易出错。因此,需要一种工具来简化测试工作,并节省产品发布周期的总时间。在这项工作中,我们提出了QADroid,这是Android应用程序的第一个活动和事件感知回归选择工具。QADroid的显著特点是:(i)一个更丰富的变更集分析器,涵盖代码以及用于回归的非代码组件,(ii)它呈现应用程序功能的图形表示,(iii)它将应用程序中的回归点显示为活动到用户元素到事件之间的映射。特性(ii)和(iii)帮助测试人员更好地理解技术发现。我们在50个开源Android项目的1105个版本中评估了QADroid。结果表明,与对所有活动和事件进行穷举测试的传统方式相比,QADroid减少了58%的活动选择和74%的事件选择,从而大大减少了人工测试的工作量。
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