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An Information Foraging Theory Perspective on Tools for Debugging, Refactoring, and Reuse Tasks

机译:信息搜寻理论的观点,介绍了用于调试,重构和重用任务的工具

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Theories of human behavior are an important but largely untapped resource for software engineering research. They facilitate understanding of human developers' needs and activities, and thus can serve as a valuable resource to researchers designing software engineering tools. Furthermore, theories abstract beyond specific methods and tools to fundamental principles that can be applied to new situations. Toward filling this gap, we investigate the applicability and utility of Information Foraging Theory (IFT) for understanding information-intensive software engineering tasks, drawing upon literature in three areas: debugging, refactoring, and reuse. In particular, we focus on software engineering tools that aim to support information-intensive activities, that is, activities in which developers spend time seeking information. Regarding applicability, we consider whether and how the mathematical equations within IFT can be used to explain why certain existing tools have proven empirically successful at helping software engineers. Regarding utility, we applied an IFT perspective to identify recurring design patterns in these successful tools, and consider what opportunities for future research are revealed by our IFT perspective.
机译:人类行为理论是软件工程研究的重要但尚未开发的资源。它们有助于理解人类开发人员的需求和活动,因此可以作为研究人员设计软件工程工具的宝贵资源。此外,理论从特定的方法和工具之外抽象到可以应用于新情况的基本原理。为了填补这一空白,我们在以下三个方面研究文献的基础上,研究了信息搜寻理论(IFT)在理解信息密集型软件工程任务方面的适用性和实用性:调试,重构和重用。特别是,我们专注于旨在支持信息密集型活动的软件工程工具,这些活动是开发人员花费时间寻找信息的活动。关于适用性,我们考虑是否以及如何使用IFT中的数学方程式来解释为什么某些现有工具在经验上证明可以成功地帮助软件工程师。关于实用程序,我们应用了IFT观点来识别这些成功工具中的重复设计模式,并考虑IFT观点揭示了哪些未来的研究机会。

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