科学家如何开发和使用科学软件?

J. Hannay, H. Langtangen, Carolyn MacLeod, Dietmar Pfahl, J. Singer, G. Wilson
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引用次数: 237

摘要

科学和工程领域的新知识越来越依赖于科学软件产生的结果。因此,了解科学家如何在他们的研究中开发和使用软件对于评估改进当前开发实践的必要性以及对未来的资源分配做出决策是至关重要的。为此,本文介绍了2008年10月至12月进行的一项在线调查的结果,该调查收到了近2000份回复。我们的主要结论是:(1)开发和使用科学软件所需的知识主要是通过同伴和自学获得的,而不是通过正规教育和培训获得的;(2)与使用台式或中级计算机的科学家相比,使用超级计算机的科学家数量较少;(3)大多数科学家主要依赖于拥有大量用户基础的软件;(4)虽然许多科学家认为软件测试很重要,但少数科学家认为他们对测试概念有足够的理解;(5)如果科学家在大型软件开发项目和团队中工作,他们倾向于把标准软件工程概念排得更高,但是在软件工程概念的重要性等级和项目/团队规模之间没有统一的联系趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How do scientists develop and use scientific software?
New knowledge in science and engineering relies increasingly on results produced by scientific software. Therefore, knowing how scientists develop and use software in their research is critical to assessing the necessity for improving current development practices and to making decisions about the future allocation of resources. To that end, this paper presents the results of a survey conducted online in October-December 2008 which received almost 2000 responses. Our main conclusions are that (1) the knowledge required to develop and use scientific software is primarily acquired from peers and through self-study, rather than from formal education and training; (2) the number of scientists using supercomputers is small compared to the number using desktop or intermediate computers; (3) most scientists rely primarily on software with a large user base; (4) while many scientists believe that software testing is important, a smaller number believe they have sufficient understanding about testing concepts; and (5) that there is a tendency for scientists to rank standard software engineering concepts higher if they work in large software development projects and teams, but that there is no uniform trend of association between rank of importance of software engineering concepts and project/team size.
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