Preliminary Data Examination on Effort Estimation of Resources Needed to Upload Content on Learning Management System (LMS)
Ramya S Gowda1, Suma V2
1Ramya S Gowda, Content Head, Research Scholar, National Magna Soft BIM US Engineering, Bangalore Bharathiar University, Coimbatore (Tamil Nadu), India.
2Suma V, Research Centre, Dean Professor, Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore (Karnataka), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 05 December 2019 | Manuscript Published on 16 December 2019 | PP: 129-135 | Volume-8 Issue-3S3 November 2019 | Retrieval Number: C10421183S319/2019©BEIESP | DOI: 10.35940/ijrte.C1042.1183S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Effort Estimation has been a challenging part of e-Learning due to the growing change in technology. E-Learning industry has to meet dynamic requirements of the customer. Content development has to undergo various stages during its development. During the process, initial SLA (Service Level Agreement) varies frequently and there exists several problems in content delivery. Scope Creep is the result of dynamic expectations from the clients without any limitation to the time. This affect the delivery of the product as the resources that were allocated to the development of the product were according to the initial SLA. This paper discusses about parameters that affect the estimation along with resource requirement computation. The paper further focuses on traditional effort estimation technique while analyzing the scope creep life cycle for e-Learning project. The Investigation is made by considering one of the leading middle level e-Learning organization. The case-study and the statistical analysis are carried out on the data which is collected from the company. From the analysis, amount of resource required to handle the dynamic data can be estimated.
Keywords: Effort, Estimation, E-learning, SLA, Computation.
Scope of the Article: Resources Utilization