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Documenting requirements specifications using natural language requirements boilerplates

机译:使用自然语言需求样板来记录需求规格

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The natural language (NL) is frequently applied to document the stakeholders' statements and their needs during requirement elicitation activities. Nevertheless, the use of generic NL has potential for the issues of unclear and inconsistent requirements. These issues may result from the diverse interpretations by the stakeholders or other various sources of documents and artefacts. Additionally, the issues of ambiguity and incompleteness have contributed to the volatility problems to the elicited requirements, and lead to more complex situations, if the software has been deployed to the client site. The main objective of this paper was to discuss the definition and application of predefined boilerplates to specify the requirements in the form of NL statements. In this study, the proposed boilerplates were defined and classified based on two main types of requirements, namely functional and non-functional (performance, constraints, and specific quality). The applicability of the predefined boilerplates was demonstrated using the industrial strength of MediNET system (a healthcare application) case study. As a summary, the predefined boilerplates were found helpful, especially among novice requirement engineers to express and specify their requirements in a consistent manner and a standardized way. The motivation of this study was to facilitate a better way of documenting the elicited requirements from the stakeholders, particularly in specifying the requirements based on the predefined boilerplates, relatively to improve the quality of the NL statements.
机译:在需求启发活动中,自然语言(NL)经常用于记录利益相关者的陈述及其需求。但是,使用通用NL可能会导致需求不明确和不一致的问题。这些问题可能是由利益相关者的不同解释或其他各种文件和人工制品的来源造成的。此外,如果软件已部署到客户站点,则模棱两可和不完整的问题导致了所提出要求的易变性问题,并导致了更为复杂的情况。本文的主要目的是讨论预定义样板的定义和应用,以NL语句的形式指定要求。在这项研究中,根据两种主要类型的需求(功能,非功能(性能,约束和特定质量))对提议的样板进行了定义和分类。使用MediNET系统的工业实力(医疗应用)案例研究证明了预定义样板的适用性。总而言之,预定义的样板被发现是有用的,特别是在新手需求工程师中,它们以一致的方式和标准化的方式表达和指定他们的需求。这项研究的目的是为了提供一种更好的方式来记录利益相关者提出的需求,特别是在基于预定义的样板指定需求时,相对地提高了NL语句的质量。

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