Releasing Scientific Software in GitHub: A Case Study on SWMM2PEST

Xuanyi Lin, Michelle Simon, Nan Niu
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引用次数: 6

Abstract

Release engineering involves code development, integration, testing, and software delivery. It has been widely applied to deliver high-quality software to users. While release engineering is a widespread practice in the software industry, there have been very few studies on the release engineering pipeline of scientific software. To shorten this gap, we present a case study in this paper to show a GitHub-driven release workflow on SWMM2PEST, a software system automating parameter calibration for the U.S. EPA's Storm Water Management Model (SWMM). Moreover, we analyze software version updates and requirements changes to develop strategies for improving the ongoing releases. The feasibility of improvement strategies is demonstrated by our consecutively released versions of SWMM2PEST. The results offered insights into the continuous release of scientific software.
在GitHub上发布科学软件:SWMM2PEST的案例研究
发布工程包括代码开发、集成、测试和软件交付。它已被广泛应用于向用户交付高质量的软件。虽然发布工程在软件行业中是一种广泛的实践,但对科学软件的发布工程管道的研究却很少。为了缩短这一差距,我们在本文中提出了一个案例研究,以展示github驱动的SWMM2PEST发布工作流程,SWMM2PEST是一个软件系统,可自动校准美国环保署的雨水管理模型(SWMM)的参数。此外,我们分析软件版本更新和需求变化,以制定改进当前版本的策略。我们连续发布的SWMM2PEST版本证明了改进策略的可行性。研究结果为科学软件的持续发布提供了洞见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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