ESTIMATING EFFORT FOR LOW-CODE APPLICATIONS

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dc.contributor.advisorTabrizi, M. H. N
dc.contributor.authorButler, Rhonda R
dc.date.accessioned2020-06-23T18:03:37Z
dc.date.available2020-06-23T18:03:37Z
dc.date.created5/1/2020
dc.date.issued2020-06-22
dc.degree.departmentComputer Science
dc.degree.disciplineSoftware Engineering
dc.degree.grantorEast Carolina University
dc.degree.levelMS
dc.degree.nameMasters of Science in Software Engineering
dc.description.abstractTwo issues continually plaguing the software industry are software size calculation and project effort estimation. Incorrect estimates may lead to inappropriate allocation of resources (people), shortage of time, insufficient funds, and possibly project failure. The purpose of this study is to explore current methods of software effort estimation and the applicability to low-code application development. The study seeks to answer the research question: Can the current methods be used to estimate effort for applications built with low-code platforms? The goal is to analyze some of the popular estimation methods to see if they can be applied to low-code application development.
dc.identifier.urihttp://hdl.handle.net/10342/8567
dc.publisherEast Carolina University
dc.subject.lcshComputer software--Development--Estimates
dc.subject.lcshApplication software--Development
dc.titleESTIMATING EFFORT FOR LOW-CODE APPLICATIONS
dc.typeMaster's Thesis

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