CRI: CI-New: Collaborative Research: NJR: A Normalized Java Resource

编程语言和软件工程的研究越来越成为一门“大数据”科学（“大代码”），研究人员希望使用大型代码库来试验新技术。 具体来说，Big Code将在安全增强器、bug查找器和代码合成器等领域启用新工具。 该项目将建立一个包含100，000个可执行Java程序的社区资源，以及一套工作工具和进行此类研究的环境。 这种规范化的Java资源（NJR）将降低新工具的实现障碍，加快研究速度，并最终帮助推进研究前沿。 此外，NJR可以成为利用Big Code的软件工具新课程的基础。 最后，NJR可以成为关于更好的基准测试套件的讨论的中心。 两位研究人员将与来自五个国家的合作者合作。研究人员从使用NJR中获得了显着的优势。 他们可以编写基于NJR已经工作的工具的新工具的脚本，并且他们可以搜索NJR以获得具有所需特性的程序。 他们将以容器的形式接收搜索结果，可以在本地或云服务上运行。 此外，它们还受益于NJR对每个Java程序的规范化表示，这使得工具能够在整个集合上可伸缩地运行。 最后，他们会发现，NJR的项目集合是多样化的，因为研究人员的努力运行克隆检测和近似重复删除。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

Research in programming languages and software engineering has increasingly become a "big data" science ("Big Code") is which researchers want to use large code bases to experiment with new techniques. Specifically, Big Code will enable novel tools in areas such as security enhancers, bug finders, and code synthesizers. This project will build a community resource of 100,000 executable Java programs together with a set of working tools and an environment for conducting such research. This Normalized Java Resource (NJR) will lower the barrier to implementation of new tools, speed up research, and ultimately help advance research frontiers. Additionally, NJR can be the foundation of new courses on software tools that take advantage of Big Code. Finally, NJR can be the centerpiece of a discussion about better benchmark suites in general. The two investigators will work with collaborators from five countries. Researchers get significant advantages from using NJR. They can write scripts that base their new tool on NJR's already-working tools, and they can search NJR for programs with desired characteristics. They will receive the search result as a container that they can run either locally or on a cloud service. Additionally, they benefit from NJR's normalized representation of each Java program, which enables scalable running of tools on the entire collection. Finally, they will find that NJR's collection of programs is diverse because of the investigators' efforts to run clone detection and near-duplicate removal.This 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.