SBIR Phase II: Combining Program Analysis Breakthroughs and Big Data to Improve Mobile App Quality

SBIR 第二阶段：结合程序分析突破和大数据来提高移动应用程序质量

• 批准号: 1738335
• 负责人: Ilya Dreytser
• 金额: $ 75万
• 依托单位: NimbleDroid, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2021-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1738335&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Combining; Program

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will result from greatly improving mobile app user experience, boosting developer productivity, and speeding up mobile innovations by automating the mundane and simplifying the complex in Android app testing. Apps are now everywhere. They innovate almost every industry. By making it easy to build high-quality apps, users enjoy better experience and developers enjoy better productivity, benefiting every industry and person that use apps.This Small Business Innovation Research (SBIR) Phase II project seeks to modernize the software development process by combining both program analysis research breakthroughs and big data technologies. Toward this vision, this project aims to build a unique product with innovative technologies to help developers automatically test Android apps. The product continuously tests apps across code changes to detect issues such as performance regressions, crashes, and memory leaks, as soon as problematic code is introduced. In contrast, existing tools often alert developers too late, after real users have been affected and many code changes have been merged, making it both stressful and difficult to find the problematic code. The proposed product gives actionable diagnosis by pinpointing what problematic code developers need to fix and explaining the why and how of the fix. It is thus much more intelligent and easy to use than existing tools.

这一小型企业创新研究（SBIR）第二阶段项目的更广泛影响/商业潜力将来自于极大地改善移动的应用程序用户体验、提高开发人员的生产力，以及通过自动化Android应用程序测试中的平凡和简化复杂来加速移动的创新。 APP现在到处都是。 几乎所有行业都在创新。 通过简化高质量应用程序的构建，用户可以享受更好的体验，开发人员可以享受更高的生产力，从而使每个使用应用程序的行业和个人受益。这个小型企业创新研究（SBIR）第二阶段项目旨在通过结合程序分析研究突破和大数据技术来实现软件开发流程的现代化。为了实现这一愿景，该项目旨在构建一个具有创新技术的独特产品，以帮助开发人员自动测试Android应用程序。该产品会在代码更改过程中持续测试应用程序，以便在引入有问题的代码后立即检测性能退化、崩溃和内存泄漏等问题。相比之下，现有的工具往往在真实的用户受到影响并且许多代码更改已经合并之后才提醒开发人员，这使得找到有问题的代码既有压力又困难。建议的产品通过精确定位开发人员需要修复的问题代码并解释修复的原因和方法来提供可操作的诊断。因此，它比现有工具更智能，更易于使用。