ESTIMATING EFFORT FOR LOW-CODE APPLICATIONS
dc.contributor.advisor | Tabrizi, M. H. N | |
dc.contributor.author | Butler, Rhonda R | |
dc.date.accessioned | 2020-06-23T18:03:37Z | |
dc.date.available | 2020-06-23T18:03:37Z | |
dc.date.created | 5/1/2020 | |
dc.date.issued | 2020-06-22 | |
dc.degree.department | Computer Science | |
dc.degree.discipline | Software Engineering | |
dc.degree.grantor | East Carolina University | |
dc.degree.level | MS | |
dc.degree.name | Masters of Science in Software Engineering | |
dc.description.abstract | Two 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.uri | http://hdl.handle.net/10342/8567 | |
dc.publisher | East Carolina University | |
dc.subject.lcsh | Computer software--Development--Estimates | |
dc.subject.lcsh | Application software--Development | |
dc.title | ESTIMATING EFFORT FOR LOW-CODE APPLICATIONS | |
dc.type | Master's Thesis |
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