An Efficient Algorithm for Auto Upload and Chi-Square Test on Application Software

In this article, the authors have 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 en...

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Veröffentlicht in:International journal of advanced computer research 2013-06, Vol.3 (2), p.121-121
Hauptverfasser: Kembhavi, Sampada, Gupta, Ravindra, Singh, Gajendra
Format: Artikel
Sprache:eng
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Zusammenfassung:In this article, the authors have 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, they present the authentication process with auto uploading process. They also use the traditional method of data uploading, data gathering and sharing. So that they compare their statistics. They use object oriented programming programs as a data, which is used for data sharing and gathering. They use java programs for comparison. Then they apply Chi-Square test, to test the hypothesis for correctness. Then they check the program capability under three parameters; first is F-measure, second is odds ratio and third is power. Based on the three parameters, they can find the better application software as a service approach. Based on the above phenomena, they can compare the execution time in different operating application with the help of software quality metrics.
ISSN:2249-7277
2277-7970