Paper Info
Title
Web software fault prediction under fuzzy environment using MODULO-M multivariate overlapping fuzzy clustering algorithm and newly proposed revised prediction algorithm
Abstract
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. 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. 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.
Year
DOI
Venue
2014
10.1016/j.asoc.2014.03.030
Appl. Soft Comput.
Keywords
Field
DocType
fuzzy clustering,algorithm,web software reliability,fuzzy time series,server logs,web errors
Fuzzy clustering,Data mining,Fuzzy set operations,Computer science,Software,Artificial intelligence,Time complexity,Defuzzification,Multivariate statistics,Modulo,Fuzzy logic,Algorithm,Machine learning
Journal
Volume
ISSN
Citations 
22,
1568-4946
5
PageRank 
References 
Authors
0.43
21
2
Name
Order
Citations
PageRank
Subhashish Chatterjee150.76
Arunava Roy2454.82