Title :
Quality Measurement for Cloud Based E-commerce Applications
Author :
Kiruthika, Jay ; Horgan, Gerard ; Khaddaj, Souheil
Abstract :
Cloud based e-Commerce applications are favored over traditional systems due to their capacity to reduce costs in various aspects like use of resources, low operating costs, eliminate capital costs, low maintenance and service costs. Its core functionality of optimizing performance and its automatic system recovery is crucial in web applications. Using a cloud platform for web applications increases productivity and decreases the replication of business documents saving businesses money in the current economic climate. A stable system is needed to achieve this and quality measurement is crucial to establish baselines to help predict resources for the future of the business. The proposed quality measurement model is one such designed for Cloud based e-Commerce applications. It aims to create a repository or an error-Knowledge Management System(e-KMS) for known online defects with capacity to add in future defects as they occur when using the applications. By mapping these defects directly to quality factors affected, accurate quality measurement can be achieved.
Keywords :
cloud computing; document handling; electronic commerce; knowledge management; optimisation; Web applications; business documents replication; businesses money; capital costs; cloud based e-commerce applications; e-KMS; economic climate; error-knowledge management system; maintenance costs; operating costs; performance optimization; quality measurement; service costs; Business; Computational modeling; Current measurement; HTML; Q factor; Software quality; Cloud Computing; Quality measurement; Software Defects; Software Quality; Software Quality Management;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-2630-8
DOI :
10.1109/DCABES.2012.62