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Abstract-Similarity metric is of fundamental importance for similarity matching and subsequence query in time series applications. Most existing approaches measure the similarity by calculating and aggregating the point-to-point distance, few of them take the segment trend duration into account. In this paper, upon analyzing the properties of financial time series, we define a time series notation which is more intuitive and expressive. Base on that, a new similarity model is proposed. Experiments on both real foreign currency exchange rate data and stock market data are performed. The result shows the effectiveness and good accuracy of our method. The similarity model is also proved to be segmentation algorithm independent thus can be combined with other segmentations for similarity query, pattern matching, classification, and clustering.

Although it is widely believed that software quality will be improved by the use of automated testing, automation is still not well-off in industry today. There are quite a few issues of traditional software test automation mode, for example, high cost, knowledge barriers, and management troubles.In the paper, a test automation solution on GUI functional test is proposed. The solution integrates test case generation and selection, test case execution, and test reporting to facilitate testing. It introduces the concept of test driver which is designed to take over the communication between test cases and the execution engine. At last, some enhancements are proposed for future work.I.

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When in dual-shore software outsourcing, the working units are geographically distributed and each has unique management framework, procedure and security requirement. Timely business information convergence is necessary for the collaboration but difficult to achieve in such environment. A framework is proposed to adaptively collect the process information in dual-shore software outsourcing and to timely share the information among these heterogeneous working units. The further information analysis is also enabled, which may enhance the timely collaboration and decision making.