A sensemaking analysis of API learning using React

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Computer Languages Pub Date : 2023-01-01 DOI:10.1016/j.cola.2022.101189
Caitlin Kelleher , Michelle Brachman
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引用次数: 0

Abstract

Current programming practices rely heavily on the use of APIs (Application Programming Interfaces) and frameworks. However, APIs can be challenging to learn and use. Existing research focuses on specific barriers programmers encounter while learning APIs, providing a fragmented understanding of the process. In this paper, we analyze the holistic process of twelve programmers learning the React JS API using sensemaking theory as a guiding framework for qualitative coding of behaviors. We describe how these API learners moved through sensemaking stages and how they interacted with information during each sensemaking stage. Our results highlighted programmers’ tendency to seek understanding when they encountered problems.

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使用React的API学习的语义分析
当前的编程实践在很大程度上依赖于API(应用程序编程接口)和框架的使用。然而,API在学习和使用方面可能具有挑战性。现有的研究侧重于程序员在学习API时遇到的特定障碍,提供了对过程的零散理解。在本文中,我们分析了12名程序员学习React JS API的整体过程,将感觉制造理论作为行为定性编码的指导框架。我们描述了这些API学习者是如何通过感知阶段的,以及他们在每个感知阶段如何与信息互动的。我们的研究结果强调了程序员在遇到问题时寻求理解的倾向。
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来源期刊
Journal of Computer Languages
Journal of Computer Languages Computer Science-Computer Networks and Communications
CiteScore
5.00
自引率
13.60%
发文量
36
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