'I Don't Understand!': Toward a Model to Evaluate the Role of User Story Quality

机译：“我不理解！”：建立一个模型来评估用户故事质量的作用

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User stories are popular for conveying requirements in agile software projects. Despite existing quality criteria, authors make formal mistakes that result in "bad" user story quality. If developers have insufficient experience in balancing quality problems, the creation of a shared mental model is impossible, thus increasing the risk of impacts on the project's success. This article provides a work-in-progress research model to set these variables in relation and establish a systematic method to uncover answers regarding their correlation. Details on the effects support research in agile requirements engineering to gain a better understanding of cognitive processes in the comprehension of user stories. In addition, insights can help to develop design recommendations and AI tools to improve user stories. A first evaluation of the model provides promising insights into the behavior and forms a basis for future research.

机译：用户案例在传达敏捷软件项目中的需求方面很受欢迎。尽管有现有的质量标准，但是作者还是犯了一些正式的错误，从而导致“糟糕的”用户故事质量。如果开发人员在平衡质量问题方面经验不足，则无法创建共享的思维模型，从而增加了影响项目成功的风险。本文提供了一个进行中的研究模型来设置这些变量之间的关系，并建立一种系统的方法来揭示有关它们的相关性的答案。有关效果的详细信息支持敏捷需求工程中的研究，以便在理解用户故事时更好地理解认知过程。此外，洞察力可以帮助开发设计建议和AI工具来改善用户故事。该模型的首次评估为行为提供了有前途的见解，并为将来的研究奠定了基础。

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《International Conference on Agile Software Development》|2020年|103-112|共10页
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Daniel Hallmann;
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Agile software development; User story quality; Developer experience; Shared mental model; Project success;

机译：敏捷软件开发;用户故事质量;开发人员经验;共同的思维模式;项目成功;

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'I Don't Understand!': Toward a Model to Evaluate the Role of User Story Quality

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