Interplay of usability and requirements engineering in facts analysis for patent disputes

E. Rosen
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引用次数: 0

Abstract

Patent law still relies on textual argumentation when determining inventiveness, i.e. (non)obviousness, of inventions over prior state-of-the-art, i.e. published knowledge, in patent disputes. The objective of this research is to support an industrial partner to identify usability issues supporting requirements engineering when introducing the Facts Screening and Transforming Processor (FSTP), a systematic, structured method and software for analyzing and representing facts indicating the (non)obviousness of an invention. Different qualitative research methods are used to elicit and analyze usability issues. This paper describes first attempts on how acceptance of the FSTP method and software may be enhanced by a user-centered approach comprising: identifying learnability issues of the method, creating training accordingly, and uncovering usability issues of the existing prototype. The analysis of facts for a dispute is a creative and lengthy process that requires a lot of different skills (also with respect to regional specificities in patent law). The data collected represents a small sample of users with different background knowledge (i.e. (patent) lawyers) and cases of different patent law systems (i.e. USA and Europe).
专利纠纷事实分析中可用性和需求工程的相互作用
专利法在确定发明的创造性时仍然依赖于文本论证,即(非)显而易见性,即在专利纠纷中发明优于先前的最先进技术,即已发表的知识。本研究的目的是支持工业合作伙伴在引入事实筛选和转换处理器(FSTP)时识别支持需求工程的可用性问题,FSTP是一种用于分析和表示表明发明(非)显而易见性的事实的系统化结构化方法和软件。不同的定性研究方法被用来引出和分析可用性问题。本文描述了如何通过以用户为中心的方法来增强对FSTP方法和软件的接受度的首次尝试,该方法包括:确定方法的易学性问题,相应地创建培训,以及发现现有原型的可用性问题。对争议的事实分析是一个创造性的、漫长的过程,需要许多不同的技能(也涉及专利法的地区特殊性)。收集的数据代表了具有不同背景知识(即(专利)律师)和不同专利法体系(即美国和欧洲)案例的用户的小样本。
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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