Empirical Software Engineering Research Ethics

J. Singer, Norman G. Vinson
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引用次数: 1

Abstract

Software engineering - unlike other empirical fields such as psychology, medicine, anthropology - has yet to address ethical principles and their application to data collection and analysis. This pane1 will explore ethical issues, in particular, with regards to metrics and their use.Ethical issues are important to researchers for several reasons. First, within the U.S. and Canada, researchers receiving federal grants for their research are required to follow ethical principles regarding informed consent, confidentiality, and minimization of harm. Research grants can be canceled for non-compliance to ethical standards. In rare cases, funding to an entire department can be at risk, as was recently the case for Duke University's Medical School.Another important issue to researchers has to do with ethical codes and their creation. In Canada, a joint council has recently created a new ethical code to be used in assessing research from several major granting councils (including those that would be responsible for software engineering research). Because this code was not created with software engineering research in mind, it might not conform to how software engineers view ethics. Yet it will still be applied to software engineering proposals. Therefore, as researchers, it is important to be proactive in both defining ethics as regards metrics and ensuring compliance to those standards. Without this proactive voice, ethical standards that do not make sense might be imposed upon the community. With software engineering research's close ties to industry and its products, it is not clear how traditional standards should be applied or modified to fit current practices.Industrial leaders should be concerned about ethics as well. Ethical reasoning supplies the basis for law. Therefore, industrial representatives need to ensure that the research that occurs in their environments follows ethical codes in order to protect themselves from litigation. Knowledge of ethics or ethical codes also informs industrial representatives about their rights with respect to the research content, such as how the data will be used, how it will be stored, and who will have access to it. Awareness of these rights is critical in today's competitive environment, especially with regard to university policies. For instance, in the U.S., OMB Circular A-110 - currently under review, requires all data collected with federal research monies to be made publicly available. Industries that have a stake in university research would be well advised to understand and address policies such as this.In the end, though, good ethics makes for good research. It therefore behooves us, as researchers and users of research, to understand issues regarding an ethical approach to metrics research. This panel will address informed consent, data sharing, confidentiality, analysis, access, and other important ethical issues.
实证软件工程研究伦理
软件工程——与心理学、医学、人类学等其他经验领域不同——尚未解决伦理原则及其在数据收集和分析中的应用。本小组将探讨伦理问题,特别是关于度量标准及其使用的问题。出于几个原因,伦理问题对研究人员来说很重要。首先,在美国和加拿大,接受联邦研究资助的研究人员必须遵守关于知情同意、保密和最小化伤害的伦理原则。如果研究经费不符合伦理标准,就会被取消。在极少数情况下,整个院系的资金可能会面临风险,就像最近杜克大学医学院的情况一样。研究人员面临的另一个重要问题与道德准则及其创建有关。在加拿大,一个联合委员会最近创建了一个新的道德准则,用于评估来自几个主要授权委员会(包括那些将负责软件工程研究的委员会)的研究。因为这些代码的创建并没有考虑到软件工程研究,所以它可能不符合软件工程师对道德的看法。然而,它仍将应用于软件工程建议。因此,作为研究人员,重要的是要积极主动地定义有关指标的道德规范,并确保遵守这些标准。如果没有这种积极主动的声音,没有意义的道德标准可能会强加给社区。由于软件工程研究与工业及其产品的紧密联系,传统标准应该如何应用或修改以适应当前的实践尚不清楚。工业领袖也应该关注道德问题。伦理推理是法律的基础。因此,工业代表需要确保在他们的环境中进行的研究遵循道德规范,以保护自己免受诉讼。对伦理或道德规范的了解还使行业代表了解他们在研究内容方面的权利,例如如何使用数据、如何存储数据以及谁可以访问数据。在当今竞争激烈的环境中,特别是在大学政策方面,意识到这些权利至关重要。例如,在美国,目前正在审查的OMB通告A-110要求所有用联邦研究资金收集的数据都要公开。与大学研究有利害关系的行业最好理解并应对此类政策。然而,最终,良好的伦理造就了良好的研究。因此,作为研究人员和研究用户,我们有必要了解有关度量研究的道德方法的问题。该小组将讨论知情同意、数据共享、保密、分析、访问和其他重要的伦理问题。
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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