Data mining support system for selection and prioritization of software requirements

dc.contributor.guideRajkumar, N
dc.coverage.spatialData mining support system for selection and prioritization of software requirements
dc.creator.researcherJeyaganesh Kumar, K
dc.date.accessioned2025-01-13T04:31:31Z
dc.date.available2025-01-13T04:31:31Z
dc.date.awarded2024
dc.date.completed2024
dc.date.registered
dc.description.abstractRequirement prioritization is an essential part of software newlinedevelopment, it helps to plan and execute projects correctly. Appropriate newlinerequirements have been deemed a part of high-quality software. Before newlinedeveloping a successful software product, its vital requirements must be newlineanalyzed and prioritized to find high-ranking software. Software requirements newlineare ranked according to their importance and prioritized for implementation newlinein successive software releases. Calculating software requirements rankings is newlinechallenging because it involves several computational steps, such as newlineestimating software requirements, calculating group choices from unique newlinepreferences, and calculating rankings after normalizing the priority. Existing newlinerequirements prioritization techniques are currently limited by a lack of newlinescalability and automation problems. newlineIn first approach, proposed to achieve the optimal software newlinerequirement which is based on the spider monkey optimization algorithm. newlineSMOA method is used to select the optimum cost, customer satisfaction and newlinethe efficiency level of projected method is implemented based on cost and newlinecustomer satisfaction. To accomplish the optimal software requirements, newlinemulti-objective-based Spider Monkey Optimization Algorithm is used. MO- newlineSMOA algorithm performs based on the food searching behavior of spider newlinemonkey. The concern behavior can be arranged in four stages depending on newlinethe idea of the spider monkey fusion social organization (FFSS). First, the newlinegroup calculates the separation of scrounging food from and after the meal. In newlinethe second step, the location will be updated to collect assessment newlinesegregations from local and food sources. In the next phase, the local pioneers newlinewill be updated to rank higher in the group to make the software newlineprioritization. newline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21cm.
dc.format.extentxviii,191p.
dc.identifier.researcherid
dc.identifier.urihttp://hdl.handle.net/10603/614114
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.179-190
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordCalculating software
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.subject.keywordHigh-quality software
dc.subject.keywordSoftware development
dc.titleData mining support system for selection and prioritization of software requirements
dc.title.alternative
dc.type.degreePh.D.

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