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Cognitive Complexity Reduction through Control Flow Graph Generation

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dc.contributor.authorWijendra, D. R
dc.contributor.authorHewagamage, K. P.
dc.date.accessioned2022-07-26T04:28:39Z
dc.date.available2022-07-26T04:28:39Z
dc.date.issued2022-07-18
dc.description.abstractThe cognitive complexity of a software determines the human comprehension effort to determine its underlying logic. The human comprehension effort preliminary depends on the person, who deals with the software, the source code and the problem to be addressed. The understandability of a given source code is varying with each user such that the cognitive complexity results with a subjective measurement. The graphical representation of the logical behavior of a source code implies the individual to comprehend the logic easily rather than referring to its original code base. This paper evaluates the possibility of using control flow graph representation to reduce the cognitive complexity of a given source code, thereby ensuring a less software complexity.en_US
dc.identifier.citationD. R. Wijendra and K. P. Hewagamage, "Cognitive Complexity Reduction through Control Flow Graph Generation," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, pp. 1-7, doi: 10.1109/I2CT54291.2022.9824923.en_US
dc.identifier.doi10.1109/I2CT54291.2022.9824923en_US
dc.identifier.isbn978-1-6654-2168-3
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/2832
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 IEEE 7th International conference for Convergence in Technology (I2CT);
dc.subjectGraph Generationen_US
dc.subjectCognitive Complexityen_US
dc.subjectReductionen_US
dc.subjectControl Flowen_US
dc.titleCognitive Complexity Reduction through Control Flow Graph Generationen_US
dc.typeArticleen_US
dspace.entity.typePublication

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