Clarity for Stakeholders: Empirical Evaluation of ScenarioML, Use Cases, and Sequence Diagrams

T. Alspaugh, S. Sim, K. Winbladh, M.H.D. Leila, Naslavsky, H. Ziv, D. Richardson
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引用次数: 4

Abstract

We studied the clarity of three requirements forms, operationalized as ease of problem detection, freedom from obstructions to understanding, and understandability by a variety of stakeholders. A set of use cases for an industrial system was translated into ScenarioML scenarios and into sequence diagrams; problems identified during each translation were noted; and all three forms were presented to a range of system stakeholders, who were nterviewed before and after performing tasks using the forms. The data was analyzed, and convergent results were triangulated across data sources and methods. The data indicated that ScenarioML scenarios best support requirements clarity, then sequence diagrams but only for stakeholders experienced with them, and finally use cases as the least clear form.
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涉众的清晰度:场景、用例和序列图的经验评估
我们研究了三种需求形式的清晰度,它们被操作为易于问题检测、不受理解障碍的影响,以及各种涉众的可理解性。工业系统的一组用例被转换成scenario场景和序列图;注意到每次翻译过程中发现的问题;所有三种表单都呈现给一系列系统利益相关者,他们在使用这些表单执行任务之前和之后接受了采访。对数据进行分析,并对不同数据源和方法的收敛结果进行三角剖分。数据表明,ScenarioML场景最好地支持需求清晰度,然后是序列图,但仅适用于有经验的涉众,最后用例是最不清晰的形式。
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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Designing Requirements Engineering Research Are Use Cases Beneficial for Developers Using Agile Requirements? Clarity for Stakeholders: Empirical Evaluation of ScenarioML, Use Cases, and Sequence Diagrams An Empirical Study to Compare the Accuracy of AHP and CBRanking Techniques for Requirements Prioritization
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