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 软件广泛应用于智能手机、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广泛且多种多样，但不存在用于测试和调试此类泄漏的全面策略。Android 软件中的另一个常见问题是应用程序响应用户操作的时间过长，在这种情况下，应用程序会被认为是缓慢且质量低下的。不存在用于暴露导致响应能力差的底层软件缺陷的测试技术或工具。资源泄漏和响应能力差可能会对软件可靠性、性能和市场成功产生严重影响。该项目开发了 LeakDroid，这是一种用于测试和调试此类缺陷的新颖方法和工具集。静态代码分析用于提取Android应用程序的精确GUI模型；这种分析对于许多算法的程序理解、优化、测试和调试来说是必不可少的。接下来，通过不应导致资源使用增加的 GUI 事件序列，根据常见泄漏模式生成 GUI 测试。在所选代码位置引入延迟的测试会暴露出响应能力差的情况。然后采用调试技术来查找泄漏的数据结构和响应不良的操作，以及相应的有缺陷的代码。这些贡献推动了 Android 软件分析、测试和调试这一重要领域的最新技术发展。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。该项目的教育工作培养了下一代移动软件创建者的技能