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1. A Strategy for Reducing Redundancy in Test Suite Based on Spectrum Fault Localization | |||
YANG Xingyuan,WANG Chun | |||
Computer Science and Technology 26 January 2020 | |||
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Abstract:The spectrum-based fault localization technology can effectively use the operating spectrum information and achieve rapid fault localization. For spectrum-based software fault localization technology, spectrum information is critical to the final localization effect, but there is a lot of redundant information in the spectrum information, which not only wastes a lot of calculation time, but also affects the final localization effect. This paper proposes a strategy based on failed execution sets for the redundancy of spectrum information in dimensions, which greatly improves the localizing efficiency. In addition, a strategy based on Chameleon\'s algorithm is proposed for the redundancy in passed test cases, and the feasibility of the strategy is verified through comparative experiments on Defects4J. | |||
TO cite this article:YANG Xingyuan,WANG Chun. A Strategy for Reducing Redundancy in Test Suite Based on Spectrum Fault Localization[OL].[26 January 2020] http://en.paper.edu.cn/en_releasepaper/content/4750584 |
2. MST-based Semi-supervised Clustering using M-lableed objects | |||
HUO Mengmeng,LIU Yangyang,CHEN Xiaoyun | |||
Computer Science and Technology 30 March 2012 | |||
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Abstract:Most of the existing semi-supervised clustering algorithms depend on pairwise constraints, and they usually use lots of priori knowledge to improve their accuracies. In this paper, we use another semi-supervised method called label propagation to show how labeled objects help the algorithms to detect clusters. We propose two new semi-supervised algorithms which have the ability to discover clusters of diverse density and arbitrary shape, named MST-based Semi-Supervised clustering using K-labeled objects ( K-SSMST ) and MST-based Semi-Supervised clustering using M-labeled objects ( M-SSMST ). Based on minimum spanning tree ( K-MST ), the two algorithms assign objects to clusters by using labeled objects. K-SSMST algorithm could automatically find natural clusters in a dataset. It does not need any input parameter and only requires K labeled data objects where K is the number of clusters. M-SSMST can detect new clusters when the number of labeled data M is less than K. It only requires one input parameter. Our algorithms were tested on both various artificial datasets and UCI datasets. The results demonstrate the accuracy when compared with other supervised and semi-supervised approaches. | |||
TO cite this article:HUO Mengmeng,LIU Yangyang,CHEN Xiaoyun. MST-based Semi-supervised Clustering using M-lableed objects[OL].[30 March 2012] http://en.paper.edu.cn/en_releasepaper/content/4473656 |
3. Research and Implementation of Mobile Streaming Media Software on Symbian OS | |||
Wu Qian | |||
Computer Science and Technology 06 November 2010 | |||
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Abstract:This paper sets up a novel and systematic solution to the problems of the developing streaming media system in the wireless network. On the basis of Live555 open source project, it elaborates the architecture of the resolution and discusses further on the real-time audio data transmission. Finally, one appropriate mechanism for streaming is implemented in terms of software on Symbian OS. This application overcomes the drawbacks of traditional ones by satisfying users in immediacy as well as having good scalability. | |||
TO cite this article:Wu Qian. Research and Implementation of Mobile Streaming Media Software on Symbian OS[OL].[ 6 November 2010] http://en.paper.edu.cn/en_releasepaper/content/4390659 |
4. TTS-Coded Genetic Algorithm for QoS-driven Web Service Selection | |||
Zhang Lei,Shuang Kai | |||
Computer Science and Technology 13 January 2009 | |||
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Abstract:To maximize user satisfaction during composition of web services, a novel Genetic Algorithm based on a special Tree Traversal Sequence (TTS) coding scheme is presented in this paper. Utilizing the tree traversal information toted by individuals of genetic population and the composite logical information stored in Tree Composite Pattern (TCP), TTS coding scheme can support all the 4 basic models of service composition flows in a much simpler and more effective way. Additionally, an adaptive crossover and mutation strategy is adopted to improve the algorithm\ | |||
TO cite this article:Zhang Lei,Shuang Kai. TTS-Coded Genetic Algorithm for QoS-driven Web Service Selection[OL].[13 January 2009] http://en.paper.edu.cn/en_releasepaper/content/27740 |
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