A sketch of the programmer's coach: making programmers more effective

D. Shepherd, G. Murphy
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引用次数: 7

Abstract

As programmers work on source code, they ask an array of questions that are difficult to answer manually. To help answer these questions, programmers often employ software tools; often in attempting to use these tools, the programmers encounter many obstacles which frustrate their efforts and lead to less than optimal tool utilization. Possibly worse, programmers often intentionally under utilize available tools as they prefer to answer questions only with tools they have used before. We hypothesize that we can coach programmers towards a more systematic use of appropriate software tools that would enable the programmers to be more productive in the completion of their work. We propose to use activity logs collected automatically to deduce the questions a given programmer asks a frequently and then to coach the programmer automatically on appropriate, possibly unfamiliar, tools to answer those questions more effectively. By using activity logs to inform coaching decisions, our approach is based on an objective cost metric. We envision an environment that enables a programmer to learn how to use appropriate tools systematically.
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程序员教练的草图:让程序员更有效率
当程序员在源代码上工作时,他们会提出一系列难以手动回答的问题。为了帮助回答这些问题,程序员经常使用软件工具;通常在尝试使用这些工具时,程序员会遇到许多阻碍他们努力的障碍,并导致工具利用率低于最佳水平。可能更糟的是,程序员经常故意不充分利用可用的工具,因为他们更喜欢只用以前使用过的工具来回答问题。我们假设我们可以指导程序员更系统地使用适当的软件工具,这将使程序员在完成他们的工作时更富有成效。我们建议使用自动收集的活动日志来推断给定程序员经常问的问题,然后自动指导程序员使用适当的(可能不熟悉的)工具来更有效地回答这些问题。通过使用活动日志来指导决策,我们的方法是基于客观的成本度量。我们设想一个环境,使程序员能够学习如何系统地使用适当的工具。
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