Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/19075
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dc.contributor.authorNdahi, Barka-
dc.contributor.authorAbisoye, Opeyemi-
dc.contributor.authorSulaimon, Bashir-
dc.contributor.authorAliyu, Hamzat-
dc.date.accessioned2023-05-23T14:06:51Z-
dc.date.available2023-05-23T14:06:51Z-
dc.date.issued2021-03-
dc.identifier.citationBarka, N., Abisoye, O. A., Sulaimon, B. A., & Aliyu, H. (2021). Impact of Soft Computing on Software Reliability: A Survey of the Literature.en_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/19075-
dc.description.abstractPersistent incidences of software failure in software systems are a great concern in the industry. Soft computing algorithms for software reliability were found to be plagued with less accuracy and efficiency. This study answers the question regarding correlation between lack of optimal soft computing model and software failures in systems. The purpose of this study is to investigate the connection between soft computing with software reliability and the incidences of software failure. Comparative analysis was carried out on the existing methods for improving software reliability in relationship to soft computing from the literatures from 2010 – 2020 in order to justify their strengths and gaps for relevant improvement. Further studies are needed to establish a model that works optimally and prevent software failures.en_US
dc.language.isoenen_US
dc.publisherIJISETen_US
dc.subjectsoft computingen_US
dc.subjectsoftware reliabilityen_US
dc.subjectcomputational intelligenceen_US
dc.subjectmachine learningen_US
dc.titleImpact of Soft Computing on Software Reliability: A Survey of the Literatureen_US
dc.typeArticleen_US
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