软件工程中的认知:半个世纪研究的分类和综述

Fabian Fagerholm, M. Felderer, D. Fucci, M. Unterkalmsteiner, Bogdan Marculescu, Markus Martini, Lars Göran Wallgren Tengberg, R. Feldt, Bettina Lehtela, Bal'azs Nagyv'aradi, Jehan Khattak
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引用次数: 11

摘要

认知在大多数软件工程活动中起着基本的作用。这篇文章提供了一个认知概念的分类,并概述了自软件工程学科开始以来的文献。该分类法包括知觉、注意、记忆、认知负荷、推理、认知偏差、知识、社会认知、认知控制和错误等顶层概念,以及定性和定量评估这些概念的程序。分类法提供了一个有用的工具来过滤现有的研究,对新的研究进行分类,并支持研究人员熟悉一个(子)领域。在文献调查中,我们系统地收集和分析了近50年来311篇科学论文,并使用分类学中的认知概念对它们进行了分类。我们的分析表明,最发达的研究领域对应于四个生命周期阶段:软件需求、设计、构建和维护。大多数研究都是定量的,关注知识、认知负荷、记忆和推理。总的来说,从认知的角度来看,目前的技术水平似乎是支离破碎的。缺乏对认知概念的使用,这些概念将代表在特定任务中活跃的认知过程的连贯图景。在此基础上,讨论了各个认知概念的研究空白,并对未来的研究提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognition in Software Engineering: A Taxonomy and Survey of a Half-Century of Research
Cognition plays a fundamental role in most software engineering activities. This article provides a taxonomy of cognitive concepts and a survey of the literature since the beginning of the Software Engineering discipline. The taxonomy comprises the top-level concepts of perception, attention, memory, cognitive load, reasoning, cognitive biases, knowledge, social cognition, cognitive control, and errors, and procedures to assess them both qualitatively and quantitatively. The taxonomy provides a useful tool to filter existing studies, classify new studies, and support researchers in getting familiar with a (sub) area. In the literature survey, we systematically collected and analysed 311 scientific papers spanning five decades and classified them using the cognitive concepts from the taxonomy. Our analysis shows that the most developed areas of research correspond to the four life-cycle stages, software requirements, design, construction, and maintenance. Most research is quantitative and focuses on knowledge, cognitive load, memory, and reasoning. Overall, the state of the art appears fragmented when viewed from the perspective of cognition. There is a lack of use of cognitive concepts that would represent a coherent picture of the cognitive processes active in specific tasks. Accordingly, we discuss the research gap in each cognitive concept and provide recommendations for future research.
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