An Efficient Algorithm for Auto Upload and Chi-Square Test on Application Software
Sampada Kembhavi, Ravindra Gupta, Gajendra Singh
Abstract
In this paper we proposed a novel algorithm for auto uploading the data in the cloud environment without any license consideration and suggest a novel framework where data is auto upload after a proper authentication and processing their task (gathering and sharing) in the cloud environment. Here we present the authentication process with auto uploading process. We also use the traditional method of data uploading, data gathering and sharing. So that we compare our statistics. We use object oriented programing (OOP) programs as a data which is used for data sharing and gathering. We use java programs for comparison. Then we apply Chi-Square test, to test the hypothesis for correctness. Then we check the program capability under three parameters; first is F-measure (FM), second is odds ratio (OR) and third is power (PO). Based on the three parameters we can find the better application software as a service approach. Based on the above phenomena we can compare the execution time in different operating application with the help of software quality metrics.
Keyword
OOP, Chi-square test, FM, OR, PO.