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Multi-label classification is a generalization of single-label classification, and its samples belong to multiple labels. The K-nearest neighbor algorithm can solve this problem as an optimization problem. It finds the optimum solution by caculating the distance between each sample in general. But in fact, the distance of K-nearest neighbor algorithm may be miscalculated due to the caused by the redundant...
Web Services (WS) is a popular way of implementing SOA-based software, which gained rapid progress. Several Web Services are usually combined to create new services by a mechanism named Composite Web Service. Composite Web Service is one of the most important components to WS.Composite Web Services testing is a difficult topic in WS testing. In this paper, we present a regression testing method for...
In open-source software development the bug report is usually assigned to a developer for bug fixing. A large number of bug reports are tossed (reassigned) to other developers, for example because the bugs have been assigned by mistake. The tossing events increase bug-fix time. In order to quickly identify the fixer to bug reports we present an approach based on the bug tossing history and textual...
Web Services are evolving all the time. Web Service testing has received significant attention in both functional and non-functional aspects. Robustness has been considered as a crucial feature of Web Service. How to test whether the service is robust enough under its evolution has become a hard problem. OWL-S (Web Ontology Language for Services) is an ontology-based semantic specification of services...
This paper introduces some issues related to the development of robotics for endoluminal surgery from control point of view. Endoluminal surgery are incisionless procedures performed through natural orifices within the natural pathways. New devices are then required to achieve these new surgical procedures. Besides the development of new devices, control issues arise in both technological and theoretical...
Robustness testing is a widely accepted approach to detect potential robustness weaknesses. However, the existing robustness testing approach suffers from some limitations, especially lacking support for automatic extraction of the SUT(System Under Test) specification knowledge, such as input syntax and interaction scenario. Such information is crucial for robustness test generation. In this paper,...
Fuzzing is an effective approach to detect vulnerabilities. Unfortunately, the existing fuzzing approach suffers from some limitations, especially lacking support for automation in extracting the SUT specific knowledge and generating test script. In this paper, by combining fuzzing with TTCN-3 technique, we present T3FAH: a TTCN-3 based Fuzzer with Attack Heuristics. The approach automatically extracts...
Web service based business process has become the backbone of enterprise information system, and it is evolving all the time. Therefore, the process has to be tested thoroughly and repeatedly whenever it is changed. This paper proposes a model driven approach toward generating executable test case from the given business process. The approach is composite of three stages: defining a process under...
Because of today's explosive information from Internet, people will contact much new information at any moment. So how to analyze this non-stationary information becomes more and more important. Clustering analysis is a good information analysis method, but many clustering algorithms only fit to stationary situation. Then in this paper, a novel incremental clustering algorithm based on self-organizing-mapping-IGSOM...
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