Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/19075
Title: Impact of Soft Computing on Software Reliability: A Survey of the Literature
Authors: Ndahi, Barka
Abisoye, Opeyemi
Sulaimon, Bashir
Aliyu, Hamzat
Keywords: soft computing
software reliability
computational intelligence
machine learning
Issue Date: Mar-2021
Publisher: IJISET
Citation: Barka, N., Abisoye, O. A., Sulaimon, B. A., & Aliyu, H. (2021). Impact of Soft Computing on Software Reliability: A Survey of the Literature.
Abstract: Persistent 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.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/19075
Appears in Collections:Information and Media Technology

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