LIVE: Empirical Studies on the Effects of Liveness on Programming

LIVE：活跃度对编程影响的实证研究

• 批准号: 449591262
• 负责人: Professor Dr.-Ing. Robert Hirschfeld
• 金额: --
• 依托单位: Hasso-Plattner-Institut für Digital Engineering
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2020
• 资助国家: 德国
• 起止时间: 2019-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/449591262?language=en
• 关键词: LIVE; Empirical; Studies; Effects; Liveness

With our project, we want to forward liveness in development environments to improve program comprehension and with that to help programmers write better code.In the recent past, several research communities introduced the ideas of liveness as “an impression of changing a program while it is running” to an increasing number of domains. Various live programming tools and environments have been created and a number of commercial programming systems, such as Microsoft Excel and Jupyter Notebooks, support liveness to different degrees. While designers of programming environments assume liveness to improve domain exploration and program comprehension, the empirical backing for these claims so far is insufficient and inconclusive. This lack of experimental evidence might not only lead to liveness being promoted in settings in which it is not beneficial, but also in settings in which it yields detrimental effects.In our project, we will determine the effects of liveness on programming. By conducting a family of controlled experiments, we will investigate liveness with respect to task complexity, programmer experience, feedback cycles, and tool support. In a longitudinal study, we will inquire into ways programmers adopt live programming tools and workflows. The insights from this project and derived recommendations will support designers of future programming environments deciding when, where, and how to support liveness.

通过我们的项目，我们希望在开发环境中促进活跃性，以提高程序的理解力，并帮助程序员编写更好的代码。在最近的过去，几个研究社区将活跃性的概念引入了越来越多的领域，认为活跃性是“在程序运行时更改程序的一种印象”。已经创建了各种实时编程工具和环境，一些商业编程系统，如Microsoft Excel和Jupyter笔记本电脑，都不同程度地支持活跃度。虽然编程环境的设计者假设有活力来改进领域探索和程序理解，但到目前为止，对这些主张的经验支持是不够的，也是不确定的。这种缺乏实验证据的情况不仅可能导致活性在无益的环境中被推广，也可能导致在产生有害影响的环境中被推广。在我们的项目中，我们将确定活性对编程的影响。通过进行一系列受控实验，我们将调查任务复杂性、程序员体验、反馈周期和工具支持方面的活性。在纵向研究中，我们将探讨程序员采用实时编程工具和工作流的方式。来自该项目的见解和派生的建议将支持未来编程环境的设计人员决定何时、何地以及如何支持活跃性。