Characterizing Developer Behavior in Cloud Based IDEs

2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Pub Date : 2017-11-09 DOI:10.1109/ESEM.2017.27

Yi Wang

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引用次数: 5

Abstract

Background: Cloud based integrated development environments (IDEs) are rapidly gaining popularity for its native support and potential to accelerate DevOps. However, there is little research of how developers behave when interacting with these environments. Aims: To develop empirical knowledge about how developers behave when interacting with cloud based IDEs to deal with programming tasks at various difficulty levels. Method: We conducted a user study using a cloud based IDE, JazzHub. We collected and coded session trace data, self-reported effort and frustration levels, and screen recordings. Results: We built a Markov activity transition model that describes the transitions among common development activities such as coding, debugging, and searching for information. It also captures extended interactions with remote resources. We correlated activity transition with different code growth trajectories. Conclusion: The findings are an early step toward realizing the potential for enhanced interactions in cloud based IDEs. Our study provides empirical evidence that may inspire the future evolution of cloud based IDE designs and features.

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描述基于云的ide中的开发人员行为

背景:基于云的集成开发环境(ide)因其原生支持和加速DevOps的潜力而迅速流行起来。然而，很少有人研究开发人员在与这些环境交互时的行为。目的:开发关于开发人员在与基于云的ide交互以处理不同难度级别的编程任务时的行为的经验知识。方法:我们使用基于云的IDE JazzHub进行用户研究。我们收集并编码会话跟踪数据、自我报告的工作和挫折程度以及屏幕记录。结果:我们建立了一个马尔可夫活动转换模型，该模型描述了诸如编码、调试和信息搜索等常见开发活动之间的转换。它还捕获与远程资源的扩展交互。我们将活动转换与不同的代码增长轨迹联系起来。结论:这些发现是实现基于云的ide中增强交互潜力的早期步骤。我们的研究提供了经验证据，可能会启发基于云的IDE设计和功能的未来发展。

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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2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

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