ESTIMATING EFFORT FOR LOW-CODE APPLICATIONS
Author
Butler, Rhonda R
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.
Date
2020-06-22
Citation:
APA:
Butler, Rhonda R.
(June 2020).
ESTIMATING EFFORT FOR LOW-CODE APPLICATIONS
(Master's Thesis, East Carolina University). Retrieved from the Scholarship.
(http://hdl.handle.net/10342/8567.)
MLA:
Butler, Rhonda R.
ESTIMATING EFFORT FOR LOW-CODE APPLICATIONS.
Master's Thesis. East Carolina University,
June 2020. The Scholarship.
http://hdl.handle.net/10342/8567.
June 29, 2024.
Chicago:
Butler, Rhonda R,
“ESTIMATING EFFORT FOR LOW-CODE APPLICATIONS”
(Master's Thesis., East Carolina University,
June 2020).
AMA:
Butler, Rhonda R.
ESTIMATING EFFORT FOR LOW-CODE APPLICATIONS
[Master's Thesis]. Greenville, NC: East Carolina University;
June 2020.
Collections
Publisher
East Carolina University