用于计算软件认知复杂性的自动化工具

2016 2nd International Conference on Science in Information Technology (ICSITech) Pub Date : 2016-10-01 DOI:10.1109/ICSITECH.2016.7852627

D. Wijendra, K. Hewagamage

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引用次数: 3

摘要

软件复杂性度量在定量地确定给定软件的复杂性方面起着主要作用，这些复杂性与度量愿意计算的一个或多个软件复杂性属性有关。在计算软件复杂性的可能方法的延续中，认知复杂性计算可以被认为是一个突出的因素，因为它表明了人类大脑如何识别基于认知信息学的源代码背后的内部逻辑和结构。所提出的认知复杂性度量根据架构和空间方面来评估复杂性，其中它分别通过认知权重和根据代码行(LOC)的信息散射方式来确定软件内部的信息量。然后分析了如何将提出的认知复杂度计算自动化，为最终用户提供高效的协作工作空间，避免人工计算。

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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Automated tool for the calculation of cognitive complexity of a software

Software Complexity Metrics play a major role of determining the complexity of a given software quantitatively with respective to one or more software complexity attributes in which the metric is willing to compute with. Among the continuation of the possible ways of computing the complexity of a software, the Cognitive Complexity calculation can be considered as a prominent factor since it indicates how the human brain identifies the internal logic and the structure behind the source code based on Cognitive Informatics. The proposed Cognitive Complexity metric evaluates the complexity in terms of the Architectural and Spatial aspects in which it determines the amount of information inside the software through Cognitive weights and the way of information scattering in terms of Lines of Codes (LOC) respectively. Then it is going to be analyzed how the proposed Cognitive Complexity calculation can be automated to provide a collaborative workspace to the end users with high efficiency and to prevent the manual calculation.

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2016 2nd International Conference on Science in Information Technology (ICSITech)

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