理解基于维护的编程工具研究中的任务复杂性

Patrick Rein, Tom Beckmann, Toni Mattis, R. Hirschfeld
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引用次数: 4

摘要

对编程工具进行研究的研究人员经常使用维护任务。这些任务的复杂性会显著影响参与者的行为。同时,由于维护任务的复杂性有许多来源,任务的复杂性很难精确地确定。因此,研究人员可能很难有意识地决定他们的任务在哪些方面应该是复杂的,在哪些方面应该是简单的。为了帮助研究人员对任务的复杂性做出更深思熟虑的决定,我们讨论了任务复杂性的不同因素。我们从以前对编程工具的用户研究以及我们应用于维护任务的人体工程学研究的任务复杂性模型中得出这些因素。最后,任务复杂性可能总是太复杂而无法完全控制。尽管如此,我们希望我们的讨论能够帮助其他研究人员决定他们的任务在哪些方面是复杂的,在哪些方面他们希望保持简单。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Understanding Task Complexity in Maintenance-Based Studies of Programming Tools
Researchers conducting studies on programming tools often make use of maintenance tasks. The complexity of these tasks can influence the behavior of participants significantly. At the same time, the complexity of tasks is difficult to pinpoint due to the many sources of complexity for maintenance tasks. As a result, researchers may struggle to deliberately decide in which regard their tasks should be complex and in which regard they should be simple. To help researchers make more deliberate decisions about the complexity of their tasks, we discuss different factors of task complexity. We draw these factors from previous user studies on programming tools as well as from a task complexity model from ergonomics research that we apply to maintenance tasks. In the end, task complexity might always be too complex to be fully controlled. Nevertheless, we hope that our discussion helps other researchers to decide in which dimensions their tasks are complex and in which dimensions they want to keep them simple.
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