SHF: Small: LeakDroid: Exposing Leaks and Jank in Android Applications

SHF：小：LeakDroid：暴露 Android 应用程序中的泄漏和卡顿

• 批准号: 1319695
• 负责人: Atanas Rountev
• 金额: $ 46.51万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1319695&HistoricalAwards=false
• 关键词: SHF; Small; LeakDroid; Exposing; Leaks

Android software is widely used in smartphones, tablets, and variousother devices. In devices with limited resources, an application thatconsumes too many resources can lead to slowdowns, crashes, andnegative user experience. Software defects related to leaking ofresources are widespread and varied, but there does not exist acomprehensive strategy for testing and debugging of such leaks.Another common problem in Android software is when an applicationtakes too long to respond to a user action, in which case it isperceived as sluggish and of low quality. There do not exist testingtechniques or tools for exposing the underlying software defectsleading to poor responsiveness.Resource leaks and poor responsiveness can have severe effects onsoftware reliability, performance, and marketplace success. Thisproject develops LeakDroid, a novel approach and toolset for testingand debugging of such defects. Static code analyses are used toextract precise GUI models of Android applications; such analyses areessential for many algorithms for program understanding, optimization,testing, and debugging. Next, GUI tests are generated based on commonleak patterns, through sequences of GUI events that should not lead toincreases in resource usage. Poor responsiveness is exposed with teststhat introduce delays at chosen code locations. Debugging techniquesare then employed to find leaking data structures and poorresponsiveness operations, as well as the corresponding defectivecode. These contributions advance the state of the art in theimportant area of analysis, testing, and debugging for Androidsoftware. When these advances and tools become part of softwaredevelopment practices, they would result in lower costs and increasedquality applications for millions of users of mobile devices. Theeducational efforts of the project develop the skills of the nextgeneration of creators of mobile software

Android软件广泛用于智能手机、平板电脑和各种其他设备。在资源有限的设备中，消耗过多资源的应用程序可能会导致速度变慢、崩溃和负面的用户体验。与资源泄漏相关的软件缺陷是广泛而多样的，但并不存在用于测试和调试此类泄漏的综合策略。Android软件中的另一个常见问题是，应用程序需要太长时间来响应用户操作，在这种情况下，它被认为是缓慢和低质量的。目前还没有测试技术或工具来暴露导致响应能力差的潜在软件缺陷。资源泄漏和响应能力差会严重影响软件的可靠性、性能和市场成功。该项目开发了LeakDroid，一种用于测试和调试此类缺陷的新方法和工具集。静态代码分析用于提取Android应用程序的精确GUI模型;此类分析对于许多程序理解、优化、测试和调试算法至关重要。接下来，GUI测试是基于常见的泄漏模式，通过GUI事件序列生成的，这些事件不应该导致资源使用的增加。在选定的代码位置引入延迟的测试会暴露出较差的响应性。然后，使用查全率技术来发现泄漏的数据结构和响应性差的操作，以及相应的缺陷代码。这些贡献推进了Android软件分析、测试和调试这一重要领域的技术发展。当这些进步和工具成为软件开发实践的一部分时，它们将为数百万移动的设备用户带来更低的成本和更高质量的应用程序。该项目的教育工作旨在培养下一代移动的软件开发者的技能