Publication:
Integrating Fuzzy Logic Technique in Case-Based Reasoning for Improving the Inspection Quality of Software Requirements Specifications

dc.citedby1
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorGunasekaran S.S.en_US
dc.contributor.authorKhaleefah S.H.en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid55652730500en_US
dc.contributor.authorid57188929678en_US
dc.date.accessioned2023-05-29T08:14:10Z
dc.date.available2023-05-29T08:14:10Z
dc.date.issued2020
dc.descriptionComputer circuits; Engineering research; Formal specification; Fuzzy logic; Inspection; Requirements engineering; Case-base reasonings; Fuzzy logic techniques; Inspection quality; Matching process; Quality inspection; Reasoning framework; Similarity measurements; Software requirements specifications; Case based reasoningen_US
dc.description.abstractThe development success of software is essentially based on the quality of its Software Requirements Specifications (SRS). A requirement represents the main objective that needs to be accomplished, while a specification is a full description of this objective. The inspection of the Software Requirements Specification (iSRS) system is developed to ensure that the SRSs are of high quality. This paper presents the contribution of integrating a fuzzy logic technique in the Case Base Reasoning (CBR) as a reasoning framework in the iSRS system. The fuzzy logic technique provides a disambiguation mechanism within the Retrieve, Reuse, Revise, and Retain steps of the CBR cycle. Specifically, it is used as a similarity measurement technique in the matching process between the inspected SRS cases and the existing SRS cases in the CBR case base. It then classifies and labels the cases in the case base to no-match, partial-match and, complete-match cases. This classification improves the overall reasoning and inspection of the SRS quality by comparing the inspected case with the most similar cases of the case base. � 2020, Springer Nature Switzerland AG.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-030-38752-5_39
dc.identifier.epage513
dc.identifier.scopus2-s2.0-85078534148
dc.identifier.spage503
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85078534148&doi=10.1007%2f978-3-030-38752-5_39&partnerID=40&md5=076e11b99b5de08d58249aa74325d976
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25779
dc.identifier.volume1174 CCIS
dc.publisherSpringeren_US
dc.sourceScopus
dc.sourcetitleCommunications in Computer and Information Science
dc.titleIntegrating Fuzzy Logic Technique in Case-Based Reasoning for Improving the Inspection Quality of Software Requirements Specificationsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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