Evaluating a natural language interface for behavioral programming

M. Gordon, D. Harel
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引用次数: 4

Abstract

In behavioral programming, scenarios are used to program the behavior of reactive systems. Behavioral programming originated in the language of live sequence charts (LSC), a visual formalism based on multi-modal scenarios, and supported by a mechanism for directly executing a system described by a set of LSCs. In an exploratory experiment, we compare programming using LSCs with procedural programming using Java, and seek the best interface for creating the visual artifact of LSCs. Several interfaces for creating LSCs were tested, among them a novel interactive natural language interface (NL). Our preliminary results indicate that even experts in procedural programming preferred the LSCs NL interface over the Java alternative, and their implementation times were comparable to those of the other interfaces tested. The results indicate that the NL interface, combined with the scenario-based essence of LSCs, may be a viable alternative to conventional programming.
评估用于行为编程的自然语言接口
在行为编程中,场景用于对反应性系统的行为进行编程。行为编程起源于实时序列图语言(LSC),这是一种基于多模态场景的可视化形式,并由一种直接执行由一组LSC描述的系统的机制支持。在一项探索性实验中,我们比较了使用LSCs的编程与使用Java的过程性编程,并寻求创建LSCs可视化工件的最佳接口。测试了几种用于创建LSCs的接口,其中包括一种新的交互式自然语言接口(NL)。我们的初步结果表明,即使是过程编程方面的专家也更喜欢LSCs - NL接口而不是Java接口,而且它们的实现时间与测试的其他接口相当。结果表明,结合LSCs基于场景的本质,NL接口可能是传统编程的可行替代方案。
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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