Publication:
A framework of software requirements quality analysis system using case-based reasoning and Neural Network

Simple item page
dc.citedby16
dc.contributor.authorMat Jani H.en_US
dc.contributor.authorTariqul Islam A.B.M.en_US
dc.contributor.authorid13609136000en_US
dc.contributor.authorid55810282400en_US
dc.date.accessioned2023-12-29T07:44:53Z
dc.date.available2023-12-29T07:44:53Z
dc.date.issued2012
dc.description.abstractIn this paper, we propose a new approach to Software Requirements Specifications (SRS) or software requirements quality analysis process. We apply the Software Quality Assurance (SQA) audit technique in determining whether or not the required quality standards within the requirements specifications phase are being followed closely. Quality analysis of the SRS is performed to ensure that the software requirements among others are complete, consistent, correct, modifiable, ranked, traceable, unambiguous, and understandable. Here, a new approach that combines case-based reasoning (CBR) and neural network techniques in analyzing SRS quality is proposed. This approach is used in improving the process of analyzing the quality of a given SRS document for a specific project. The CBR technique is used to evaluate the requirements quality by referring to previously stored software requirements quality analysis cases (past experiences). CBR is an artificial intelligence technique that reasons by remembering previously experienced cases, and this technique will speed up the quality analysis process. Neural Network (Artificial Neural Network or ANN) is the type of information processing paradigm that is inspired by the way biological nervous systems (brain) process information. Neural network technique works well with CBR because it also uses examples to solve problems. The new approach proposed in this research aims at enhancing and improving existing methods in analyzing SRS quality. A framework of the proposed approach is the main outcome of this research study. � 2012 AICIT.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6528619
dc.identifier.epage157
dc.identifier.scopus2-s2.0-84880995361
dc.identifier.spage152
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84880995361&partnerID=40&md5=6f0765a33083b47ef0fb767f5436b2eb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30141
dc.pagecount5
dc.sourceScopus
dc.sourcetitleProceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012
dc.subjectArtificial neural network (ANN)
dc.subjectcase-based reasoning (CBR)
dc.subjectquality analysis
dc.subjectsoftware requirements specifications (SRS)
dc.subjectComputer software selection and evaluation
dc.subjectData mining
dc.subjectData processing
dc.subjectInformation science
dc.subjectNeural networks
dc.subjectQuality assurance
dc.subjectRequirements engineering
dc.subjectSpecifications
dc.subjectArtificial intelligence techniques
dc.subjectCasebased reasonings (CBR)
dc.subjectInformation processing paradigms
dc.subjectNeural network techniques
dc.subjectRequirements specifications
dc.subjectSoftware quality assurance
dc.subjectSoftware requirements
dc.subjectSoftware requirements specifications
dc.subjectQuality control
dc.titleA framework of software requirements quality analysis system using case-based reasoning and Neural Networken_US
dc.typeConference paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS