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

编程语言和软件工程的研究日益成为一门“大数据”科学(“Big Code”)，是研究人员想要用大型代码库来试验的新技术。具体地说，Big Code将在安全增强器、错误查找器和代码合成器等领域启用新工具。该项目将建立一个由100,000个可执行Java程序组成的社区资源，以及一套工作工具和进行此类研究的环境。这一标准化的Java资源(NJR)将降低实施新工具的障碍，加快研究，并最终帮助推进研究前沿。此外，NJR可以作为有关利用大代码的软件工具的新课程的基础。最后，NJR可以成为关于更好的基准测试套件的讨论的中心议题。这两名调查人员将与来自五个国家的合作者合作。研究人员从使用NJR中获得显著优势。他们可以编写脚本，使他们的新工具基于NJR已经在运行的工具，并且他们可以在NJR中搜索具有所需特征的程序。他们将以容器的形式接收搜索结果，他们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程序的标准化表示，这支持在整个集合上可伸缩地运行工具。最后，他们会发现，由于研究人员努力运行克隆检测和接近重复的删除，NJR的程序集合是多样化的。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.