EAGER: Collaborative Research: Making Software Engineering Work for Computational Science and Engineering: An Integrated Approach

科学和工程的进步越来越依赖于软件，这一整个领域通常被称为计算科学与工程(CSE)。随着许多关键决策和进步对软件的依赖程度增加，软件的正确性和易维护性至关重要。因此，科学家和工程师将更多的时间投入到代码的开发和维护上，留给底层科学或工程的时间更少。软件工程(SE)的学科专注于创建技术和工具，以帮助开发人员更有效和高效地工作。从历史上看，科学和工程软件的SE实践(在CSE中)的使用相对较少。现代SE有许多轻量级的实践，它们很可能非常适合科学和工程软件项目的工作流程。SE在CSE中的使用率较低，这至少部分是因为缺乏在科学/工程领域被证明有效的适当定制的、轻量级的实践。该项目有三个主要活动：(1)继续举办软件工程与计算科学与工程研讨会(SE-CSE)系列。这将把两个社区的成员聚集在一起，并告知他们每个社区的问题和解决方案，并将导致社区之间的合作。(2)评估同行代码审查对科学和工程软件的有用性。通过构建和验证一组检查表来支持科学/工程同行代码审查，将对CSE开发人员通常犯下的缺陷类型有更深入的了解。这一知识不仅将激励检查清单项目，还将为其他SE方法的开发提供信息。(3)开发和评估正确选择和清晰呈现的度量是否对科学和工程开发人员有利。有关指标的社区调查将为CSE开发人员当前使用的信息类型提供独特的洞察力，如果提供得当，他们将有兴趣使用。这种类型的知识目前还不存在，对于社区中希望支持使用度量的其他人来说将非常有价值。该项目将建立一个指标仪表板的初始版本。此仪表板将用作概念验证，以说明CSE开发人员可以有效地使用标准SE方法(即使用度量来洞察软件开发过程)。除了个别活动的结果外，所有这些都将通过帮助开发人员构建更高质量的软件来帮助推动科学/工程进步。该项目将提供如何在CSE领域内有效使用适当的SE实践的范例。将这些结果传播到适当的SE、CSE和其他场所将使它们产生广泛的影响。

Scientific and engineering advances are increasingly dependent upon software, and this overall field is often called Computational Science & Engineering (CSE). With the increase in the reliance on software for many critical decisions and advances, it is of utmost importance for that software to be correct and easy to maintain. As a result, scientists and engineers are devoting a larger percentage of their time to the development and maintenance of code, leaving less time for the underlying science or engineering. The discipline of software engineering (SE) is focused on creating techniques and tools to help developers work more effectively and efficiently. Historically, the use of SE practices for science and engineering software (in CSE) has been relatively low. Modern SE has a number of light-weight practices that would likely fit well into the workflow of science and engineering software projects. The low use of SE in CSE appears to be the result, at least partially, of the lack of properly-tailored, lightweight, practices that have been shown effective in science/engineering domains.This project has three main activities:(1) Continuing the Software Engineering for Computational Science & Engineering Workshop (SE-CSE) series. This will bring together members of both communities and inform them about the problems and solutions each community has, and will lead to collaborations between the communities.(2) Evaluating the usefulness of peer code reviews on scientific and engineering software. By building and validating a set of checklists to support scientific/engineering peer code review, a deeper understanding of the types of defects commonly made by CSE developers will be obtained. This knowledge will not just motivate checklist items, but it will inform the development of additional SE methodologies.(3) Developing and evaluating whether properly chosen and clearly presented metrics can be beneficial for scientific and engineering developers. A community survey concerning metrics will provide unique insight into the type of information the CSE developers are currently using and would be interested in using if provided properly. This type of knowledge does not currently exist and will be quite valuable to others in the community wishing to support the use of metrics. The project will build an initial version of a metrics dashboard. This dashboard will act as a proof-of-concept to illustrate that a standard SE methodology (i.e. using metrics to provide insight into the software development process) can be used effectively by CSE developers.In addition to the results of the individual activities, all of them together will help advance scientific/engineering progress by helping developers build higher quality software. The project will provide examples of how appropriate SE practices can be used effectively within the CSE domain. Dissemination of these results into the appropriate SE, CSE, and additional venues will allow them to have broad impacts.