理解初始API理解

Ava Heinonen, Fabian Fagerholm
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引用次数: 0

摘要

程序员在工作中经常遇到新的应用程序编程接口(api)。理解API的困难会影响程序员的工作表现和他们开发的软件的质量。为了有效地支持API理解,了解程序员如何在实际工作环境中理解新的API是很重要的。在这项研究中,我们探讨了程序员最初的API理解努力。我们分析程序员在准备开始使用API之前需要关于API的哪些信息,以及他们用来获取这些信息的操作和信息源。此外,我们确定了影响这一过程的不同背景因素。我们使用关键事件方法采访程序员,了解他们在工作环境中的API理解过程。我们的结果表明,在我们的参与者准备开始为任务使用API之前,他们从各种来源寻找有关API的信息,以评估其有效性,并根据任务的需求对其进行评估。他们使用他们的背景知识来引导他们的信息搜索工作,并识别关键信息片段,这些信息片段增强或削弱了他们对API适合手头任务的信心。由于最初的API理解和由此产生的初始API心智模型似乎指导了程序员的API理解工作的进一步阶段,它们严重影响了理解过程的其余部分的方向。因此,在设计方法时应该考虑支持API理解,例如API文档。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding initial API comprehension
Programmers encounter new Application Programming Interfaces (APIs) regularly as a part of their work. Difficulties in API comprehension affect programmers’ performance and the quality of the software they produce. To effectively support API comprehension, it is important to understand how programmers comprehend new APIs in real-life work contexts.In this study, we explore programmers’ initial API comprehension efforts. We analyze what information programmers need about an API before they are ready to start working with it and the actions and information sources they use to acquire this information. Furthermore, we identify different contextual factors that affect this process.We used the critical incident method to interview programmers about their API comprehension processes in work contexts. Our results show that before our participants were ready to start using an API for a task, they sought information about the API from various sources to assess its validity and evaluate it with respect to the requirements of the task. They used their background knowledge to steer their information-seeking efforts and to recognize key pieces of information that strengthened or weakened their confidence in the suitability of the API for the task at hand.As initial API comprehension and the resulting initial API mental models seem to guide further stages of programmers’ API comprehension efforts, they heavily influence the direction of the rest of the comprehension process. Therefore, it should be considered in the design of means to support API comprehension, such as API documentation.
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