Agile Requirements Engineering with User Stories

F. Dalpiaz, S. Brinkkemper
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引用次数: 31

Abstract

90% of agile practitioners employ user stories for capturing requirements. Of these, 70% follow a simple template when creating user stories: As a I want to , [so that ]. User stories' popularity among practitioners and their simple yet strict structure make them ideal candidates for automatic reasoning based on natural language processing. In our research, we have found that circa 50% of real-world user stories contain easily preventable errors that may endanger their potential. To alleviate this problem, we have created methods, theories and tools that support creating better user stories. This tutorial combines our previous work into a pipeline for working with user stories: (1) The basics of creating user stories, and their use in requirements engineering; (2) How to improve user story quality with the Quality User Story Framework and AQUSA tool; and (3) How to generate conceptual models from user stories using the Visual Narrator and the Interactive Narrator tools. Our toolset is demonstrated with results obtained from 20+ software companies employing user stories.
使用用户故事的敏捷需求工程
90%的敏捷实践者使用用户故事来捕获需求。其中,70%的人在创建用户故事时遵循一个简单的模板:作为一个我想要的,[所以]。用户故事在从业者中很受欢迎,其结构简单而严格,这使它们成为基于自然语言处理的自动推理的理想候选者。在我们的研究中,我们发现大约50%的真实用户故事包含容易预防的错误,这些错误可能会危及他们的潜力。为了缓解这个问题,我们创建了方法、理论和工具来支持创建更好的用户故事。本教程将我们之前的工作结合到处理用户描述的管道中:(1)创建用户描述的基础知识,以及它们在需求工程中的使用;(2)如何利用优质用户故事框架和AQUSA工具提高用户故事质量;(3)如何使用可视化叙述者和交互式叙述者工具从用户故事中生成概念模型。我们的工具集通过使用用户故事的20多个软件公司获得的结果进行了演示。
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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