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Software Complexity Automation Tool for Industrial Practices with Qualitative and Quantitative Aspects

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dc.contributor.authorAkalanka, M.H.N
dc.contributor.authorWeerasinghe, W.A.H.T.
dc.contributor.authorPerera, H.K.P.S.
dc.contributor.authorKumari, T.N.
dc.contributor.authorWijendra, D.R.
dc.contributor.authorKrishara, J.
dc.date.accessioned2023-03-08T10:34:21Z
dc.date.available2023-03-08T10:34:21Z
dc.date.issued2022-12-09
dc.description.abstractWith the evolution of software development, the complexity of a system must be handled to increase its stability in real-world usage. Software complexity is involving with the degree of the user’s difficulty in comprehending its logic. Numerous software complexity metrics have been introduced to quantitatively measure software complexity based on different quantifiable aspects. However, the success of the current software complexity metrics is limited due to the lack of aspects and the incapability of addressing user understandability. Therefore, an automated tool for introducing software complexity with respect to the possible quantitative and qualitative aspects has been proposed.en_US
dc.identifier.citationM. H. N. Akalanka, W. A. H. T. Weerasinghe, H. K. P. S. Perera, T. N. Kumari, D. R. Wijendra and J. Krishara, "Software Complexity Automation Tool for Industrial Practices with Qualitative and Quantitative Aspects," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 453-458, doi: 10.1109/ICAC57685.2022.10025257.en_US
dc.identifier.doi10.1109/ICAC57685.2022.10025257en_US
dc.identifier.isbn979-8-3503-9809-0
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3335
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 4th International Conference on Advancements in Computing (ICAC);
dc.subjectSoftware Complexityen_US
dc.subjectAutomation Toolen_US
dc.subjectIndustrial Practicesen_US
dc.subjectQualitativeen_US
dc.subjectQuantitative Aspectsen_US
dc.titleSoftware Complexity Automation Tool for Industrial Practices with Qualitative and Quantitative Aspectsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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