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With the rapid growth of service volumes and types, discovering services in an efficient and accurate manner has become a significant challenge in service computing. Service clustering is an important technology to improve the efficiency of service discovery. In this paper, we propose a new service clustering approach, which starts from service documents and is based on the functional semantics of...
In some real-world applications, multiple measuring methods are often employed to extract multiple feature groups of data, yielding multi-view data. The main challenge of multiview clustering is to find a suitable way of simultaneously exploiting the complementary information of all views, considering the view conflicts arose by different measures. For perspective of optimization, previous multi-view...
Sensor nodes depend on power source, but they deplete rapidly. The major issues of Wireless Sensor Network (WSN) are its energy source constraints. We are able to solve this issue by using clustering architecture. In this paper we study about various clustering techniques used in WSN. The large-scale deployment of WSNs and the need for data aggregation resolve this issue mainly. Clustering is best...
Effective testing is essential for assuring software quality. While regression testing is time-consuming, the fault detection capability may be compromised if some test cases are discarded. Test case prioritization is a viable solution. To the best of our knowledge, the most effective test case prioritization approach is still the additional greedy algorithm, and existing search-based algorithms have...
Virtualization technology and MapReduce program model are sharp swords for the big data and cloud computing era. The combination of them exhibits powerful ability of easy-management, fast-deployment, feasible-scalability and high-efficiency. However, the downside is that the performance is limited by the I/O bottleneck of Virtual Machine(VM). A huge number of data should be handled in MapReduce cluster...
In continuous integration, a tight integration of test case prioritization techniques and fault-localization techniques may both expose failures faster and locate faults more effectively. Statistical fault-localization techniques use the execution information collected during testing to locate faults. Executing a small fraction of a prioritized test suite reduces the cost of testing, and yet the subsequent...
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