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RDF description of A Study and Experimental Assessment of the Cognitive Weight, Base of the Cognitive Metrics - http://orbis.uaslp.mx/vivo/individual/scopus8511
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date: 2026-08-27T13:23:02
publisher: vivo
type: Document

Article
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Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019
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publication venue for: A Study and Experimental Assessment of the Cognitive Weight, Base of the Cognitive Metrics
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A Study and Experimental Assessment of the Cognitive Weight, Base of the Cognitive Metrics
origen: scopus
type: Conference Paper
type: Continuant
related by: authorship_55080
freetext keyword: Code comprehension; Cognitive weight; Empirical assessment Cognitive metrics; Source code metrics Engineering research; Basic control structures; Code comprehension; Cognitive complexity measures; Cognitive weights; Control structure; Empirical experiments; Experimental assessment; Source code metrics; Software engineering
doi: 10.1109/CONISOFT.2019.00033
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estado: published
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most specific type: Document
page end: 180
most specific type: Conference Paper
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type: Article
crisid: 8512
related by: authorship_55077
related by: authorship_55078
date time value: conference paper date 8512
type: Information Content Entity
related by: authorship_55079
page start: 173
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abstract: Source code metrics have been used as indicators of code comprehension according to its complexity. Shao and Wang proposed a cognitive complexity measure based on the cognitive weight of the basic control structures. This cognitive weight is a fixed value assigned to each control structure, which was calculated by means of a series of empirical experiments. Given the lack of information and incompleteness of the experiments, improvements to these experiments must be made before a measure can be used. In this paper, a study on the overall state of the cognitive weight, including its experiments, is presented, along with an empirical experiment which will help us to assess the validity and accuracy of the cognitive weight. The experiment consists of applying a survey to 114 students. It contains source code complexity and comprehension questions that allow us to obtain conclusions about the validity of the cognitive weight. © 2019 IEEE.
artnum: 9105481
EI dscopus: 2-s2.0-85088565911
has publication venue: Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019

Conference Paper
type: Class