Collaborative Research: CCRI: Planning-C: An Infrastructure and Dataset for Research in Android Testing & Analysis

合作研究：CCRI：Planning-C：Android 测试研究的基础设施和数据集

• 批准号: 2235137
• 负责人: Wei Yang
• 金额: $ 3.29万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-15 至 2024-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2235137&HistoricalAwards=false
• 关键词: Collaborative; Research; CCRI; Planning; Infrastructure

Given the importance of mobile applications (apps), researchers have dedicated considerable effort toward understanding, supporting, and automating mobile app development tasks. However, researchers looking to contribute to this area of work face several challenges related to building and maintaining tooling that can keep pace with the rapid evolution of mobile platforms (e.g., new Android updates) and the continuous process of mining apps and app-related data. This project aims to carry out planning activities that will lead to the construction of a new shared community infrastructure for conducting mobile app development research. This infrastructure, called MODAL, will support work across the disciplines of software engineering (SE), computer security, and human-computer interaction (HCI) by offering various configurable components supporting key steps of the research process.This project will (1) conduct a preliminary survey of the SE, computer security, and HCI communities to understand the mobile app research needs of these communities, (2) conduct interviews to understand the barriers researchers face and how a specific community infrastructure can mitigate these barriers, (3) host workshops to facilitate the exchange of best practices used for mining data and building analysis tools to guide the development of the infrastructure, (4) conduct a working group to explore the design of the infrastructure with existing researchers, researchers new to the topic, and educators of the topic, and (5) conduct a summative survey to assess the proposed infrastructure’s ability to support mobile app research. The improved tools and techniques proposed by this project will better support app developers, enabling them to write higher quality applications, potentially impacting billions of app users. This project will also explore the potential for using the envisioned infrastructure to teach students how to effectively write mobile app software. Finally, as part of the proposed planning activities, barriers and challenges related to research on mobile app development will be uncovered that will inform new types of classroom pedagogy and new tools that will benefit novice researchers.The long-term goal of this project is the creation of a sustainable open-source community centered around the proposed research infrastructure. The community will be fostered by the development of clear contribution guidelines, proper attribution of researcher contributions, and the distribution of researcher contributions to the larger academic community. During the planning period, we will maintain a website that contains details related to the survey, workshop, working group, and summative report outlining the proposed design of the research infrastructure. The website can be found at the following link: www.sagelab.io/modalThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

鉴于Mobile Applications（Apps）胆汁应用程序开发任务的重要性。与APP相关的数据旨在开展计划活动，从而支持移动应用程序开发研究。支持研究过程的关键步骤的可配置组件。此过程。最佳实践交换的主办研讨会使用采矿数据和建筑分析工具来指导基础结构的发展，（4）与现有研究人员，研究人员，研究人员和教育者一起，将工作组用于设计基础设施的工作组，并该主题和（5）进行了一项总结性调查，以评估支持移动应用程序EARCH的拟议基础架构。这个项目威尔索（Wilso）可能会发现每个学生如何进行TO TO TO TO TO TO。这将使新手研究人员受益。该项目的长期目标是建立一个以拟议的研究基础设施为中心的可持续开源社区。较大的学术界的UTIONS。