Investigators from Indian School of Mines Zero in on Algorithms (Web software fault prediction under fuzzy environment using MODULO-M multivariate overlapping fuzzy clustering algorithm and newly proposed revised prediction algorithm)
By a News Reporter-Staff News Editor at Computer Weekly News -- A new study on Algorithms is now available. According to news reporting originating from Jharkhand, India, by VerticalNews correspondents, research stated, "In recent years some research works have been carried out on web software error analysis and reliability predictions. In all these works the web environment has been considered as crisp one, which is not a very realistic assumption."
Our news editors obtained a quote from the research from the Indian School of Mines, "Moreover, web error forecasting remains unworthy for the researchers for quite a long time. Furthermore, among various well known forecasting techniques, fuzzy time series based methods are extensively used, though they are suffering from some serious drawbacks, viz., fixed sized intervals, using some fixed membership values (0, 0.5, and 1) and moreover, the defuzzification process only deals with the factor that is to be predicted. Prompted by these facts, the present authors have proposed a novel multivariate fuzzy forecasting algorithm that is able to remove all the aforementioned drawbacks as also can predict the future occurrences of different web failures (considering the web environment as fuzzy) with better predictive accuracy. Also, the complexity analysis of the proposed algorithm is done to unveil its better run time complexity. Moreover, the comparisons with the other existing frequently used forecasting algorithms were performed to demonstrate its better efficiency and predictive accuracy."
According to the news editors, the research concluded: "Additionally, at the very end, the developed algorithm was applied on the real web failure data of http://www.ismdhanbad.ac.in/, the official website of ISM Dhanbad, India, collected from the corresponding HTTP log files."
For more information on this research see: Web software fault prediction under fuzzy environment using MODULO-M multivariate overlapping fuzzy clustering algorithm and newly proposed revised prediction algorithm. Applied Soft Computing, 2014;22():372-396. Applied Soft Computing can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Applied Soft Computing - www.elsevier.com/wps/product/cws_home/621920)
The news editors report that additional information may be obtained by contacting S. Chatterjee, Indian Sch Mines Dhanbad, Dept. of Appl Math, Jharkhand 826004, India.
Keywords for this news article include: Asia, India, Software, Jharkhand, Algorithms
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