Defects Avoidance in E-commerce Projects using Rayleigh Method
R. Sudarshan1, S. K. Srivatsa2
1R. Sudarshan, Bachelor of Engineering, Computer Science, and M. Tech in Information Technology.
2S. K. Srivatsa, Ph.D from the Indian Institute of Science, Bangalore, India.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 11777-11784 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8538118419/2019©BEIESP | DOI: 10.35940/ijrte.D8538.118419
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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: With the advent of e-commerce business, many software providers have started developing e-commerce solutions. However, the emphasis has to be given on developing defect free e-commerce portals. The current work is produced based on quantitative analysis done on five e-commerce projects. The defect data (discovery, fix and regression) are fed into the development process of the subsequent projects that helped in preventing the similar defects. A data analysis is done using Rayleigh Method to estimate the number of latent defects which may seep to the customers. This enabled in reduction in the count of User Acceptance Test defects, in the projects developed subsequently there by greatly decreasing the cost of development.
Keywords: Defect Origin and Detection, Defect Removal Efficiency, Defect Metric Analysis, E-Commerce Web Portal.
Scope of the Article: BE-Commerce.