基于框架的语言中的程序员行为画像

Joe Dillane, Ioannis Karvelas, Brett A. Becker
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引用次数: 0

摘要

基于框架的编程语言Stride有可能同时简化和加速新手的编码任务。这是通过减少认知负荷、在编辑时提供帮助和消除某些语法错误的组合来促进的。Stride还提供了与Java(新手程序员使用的另一种编程语言)进行比较的机会,因为Stride被集成到BlueJ (Java)开发环境中,并且用户数据也被捕获在Blackbox数据集中。本文旨在确定是否有证据支持其中一些说法。由于编译器错误消息是用户反馈的关键机制,因此我们将较少研究的Stride错误消息数据与更好理解的Java数据进行比较。其次,我们确定了Stride和Java用户组,以便描述他们的行为特征,并发现基于框架和更传统的基于文本的编程之间的差异。这些组包括随机用户的横截面,以及两组似乎从事类似任务的Stride和Java程序员。我们发现,典型的Stride用户主要是Java用户,两种语言的行为模式相似。然而,我们也发现少数Stride用户的编程时间主要由Stride控制,这些用户在生成用户驱动事件方面表现出明显不同的模式。这些结果对教育工作者和工具设计者,以及研究Stride、Java和Blackbox的研究人员都有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Portraits of Programmer Behavior in a Frame-Based Language
The frame-based programming language Stride has the potential to simultaneously simplify and accelerate the task of coding for novices. This is facilitated through a combination of reduced cognitive load, assistance when editing and the elimination of certain syntax errors. Stride also offers the opportunity for comparison to Java, another programming language used by novice programmers, as Stride is integrated into the BlueJ (Java) development environment and user data is also captured in the Blackbox dataset. This paper sets out to determine whether there is evidence to support some of these claims. Since compiler error messages are a key mechanism for user feedback, we compare lesser-studied Stride error message data with better understood Java data. Secondly, we identify groups of Stride and Java users in order to characterise their behavior and to discover differences between frame-based and more conventional text-based programming. These groups include cross-sections of random users as well as two sets of Stride and Java programmers that appear to be engaged in similar tasks. We find that the typical Stride user is primarily a Java user and behavior patterns are similar in both languages. However, we also found a small number of Stride users whose programming time was dominated by Stride, and these users exhibit markedly different patterns for generating user-driven events. These results have implications for educators and tool designers, as well as researchers studying Stride, Java, and Blackbox.
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