The role of legal expertise in interpretation of legal requirements and definitions

David G. Gordon, T. Breaux
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引用次数: 10

Abstract

Government laws and regulations increasingly place requirements on software systems. Ideally, experts trained in law will analyze and interpret legal texts to inform the software requirements process. However, in small companies and development teams with short launch cycles, individuals with little or no legal training will be responsible for compliance. Two specific challenges commonly faced by non-experts are deciding if their system is covered by a law, and then deciding whether two legal requirements are similar or different. In this study, we assess the ability of laypersons, technical professionals, and legal experts to judge the similarity between legal coverage conditions and requirements. In so doing, we discovered that legal experts achieved higher rates of consensus more frequently than technical professionals or laypersons and that all groups had slightly greater agreement when judging coverage conditions than requirements, measured by Fleiss' K. When comparing judgments between groups using a consensus-based Cohen's Kappa, we found that technical professionals and legal experts exhibited consistently greater agreement than that found between laypersons and legal experts, and that each group tended towards different justifications, such as laypersons and technical professionals tendency towards categorizing different coverage conditions or requirements as equivalent if they believed them to possess the same underlying intent.
法律专业知识在解释法律要求和定义方面的作用
政府的法律法规越来越多地对软件系统提出要求。理想情况下,受过法律培训的专家将分析和解释法律文本,以告知软件需求过程。然而,在发行周期较短的小公司和开发团队中,很少或没有受过法律培训的个人将负责遵从性。非专家通常面临的两个具体挑战是决定他们的系统是否受法律保护,然后决定两个法律要求是相似还是不同。在本研究中,我们评估了外行、技术专业人员和法律专家判断法律覆盖条件和要求之间相似性的能力。在这样做的过程中,我们发现法律专家比技术专业人员或外行更频繁地获得更高的共识率,并且所有群体在判断覆盖条件比需求时都有更大的一致性,用Fleiss的k来衡量。当使用基于共识的科恩Kappa来比较群体之间的判断时,我们发现技术专业人员和法律专家比外行和法律专家表现出更一致的一致性。并且每个组倾向于不同的理由,例如外行和技术专业人员倾向于将不同的覆盖条件或需求分类为等效,如果他们相信它们具有相同的潜在意图。
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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