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Wang R.,China University of Mining and Technology | Jiang S.,China University of Mining and Technology | Chen D.,Hubei Provincial Key Laboratory of Intelligent Robot | Zhang Y.,China University of Mining and Technology
Mathematical Problems in Engineering | Year: 2016

Similarity-based test case prioritization algorithms have been applied to regression testing. The common characteristic of these algorithms is to reschedule the execution order of test cases according to the distances between pair-wise test cases. The distance information can be calculated by different similarity measures. Since the topologies vary with similarity measures, the distances between pair-wise test cases calculated by different similarity measures are different. Similarity measures could significantly influence the effectiveness of test case prioritization. Therefore, we empirically evaluate the effects of six similarity measures on two similarity-based test case prioritization algorithms. The obtained results are statistically analyzed to recommend the best combination of similarity-based prioritization algorithms and similarity measures. The experimental results, confirmed by a statistical analysis, indicate that Euclidean distance is more efficient in finding defects than other similarity measures. The combination of the global similarity-based prioritization algorithm and Euclidean distance could be a better choice. It generates not only higher fault detection effectiveness but also smaller standard deviation. The goal of this study is to provide practical guides for picking the appropriate combination of similarity-based test case prioritization techniques and similarity measures. © 2016 Rongcun Wang et al. Source


He C.-W.,Wuhan Institute of Technology | He C.-W.,Hubei Provincial Key Laboratory of Intelligent Robot | Zhang L.-J.,Wuhan Institute of Technology | Zhang H.,Wuhan Institute of Technology
Tien Tzu Hsueh Pao/Acta Electronica Sinica | Year: 2011

The change of base program structure in aspect-oriented software will lead to the accidental join point miss. The reason is that the definition of the join point is tightly dependent on the base program's structure. Such a close coupling hinders the evolution of the aspect-oriented software heavily. This paper proposes an approach to aspect-oriented software evolution based on metadata and reflection. A conceptual level is added between the join point definition and the base program's structure in order to achieve decoupling. The conceptual model is used to describe the logical information, physical information, as well as the relationship between the two kinds of information. The structure of base program is annotated by logical information based on Java annotation metadata. Simultaneously, join points are also defined by the logical information. The base program is transformed based on the defined metadata and meta objects are generated automatically. On the basis of reflection, the join points can be matched correctly after the evolution of base program. Transformation algorithms for method and constructor are described in detail. This approach solves the accidental join point miss problem effectively, and can be helpful to construct adaptable aspect-oriented software. Source


Ding J.-M.,Hubei Provincial Key Laboratory of Intelligent Robot | Li Z.-Z.,University of Waterloo | Li W.-B.,Hubei Provincial Key Laboratory of Intelligent Robot | He P.,Wuhan JiHua Computer Systems Co.
Applied Mechanics and Materials | Year: 2012

In order to improve thermal comfort and avoid manually controlled split air conditioner, this paper proposes a remote intelligent control method based on the thermal comfort model. It first carries out an analysis of the thermal comfort model and simplifies objective function of the thermal comfort model, which contains only the temperature, humidity and the airflow rate of 3 parameters. In order to get the data of the three parameters of the environment the paper designs an intelligent control device with sensors and also provides the artificial immune method to optimize these three parameters. The test results show that the three parameters obtained in this paper are feasible and effective for the split air conditioner intelligent control. And this method can also be used for other similar equipment control system. © (2012) Trans Tech Publications, Switzerland. Source


Ding J.-M.,Hubei Provincial Key Laboratory of Intelligent Robot | Li Z.-Z.,University of Waterloo | Li W.-B.,Hubei Provincial Key Laboratory of Intelligent Robot | He P.,Wuhan JiHua Computer Systems Co. | He Y.,Hubei Provincial Key Laboratory of Intelligent Robot
Applied Mechanics and Materials | Year: 2013

Combined wireless sensor network technology (WSN) and infrared control technology this paper designs an intelligent control system for split air conditioner (ACSS). The system adopts the SimpliciTI protocol and a highly integrated chipset, CC1110, as wireless sensing node, which it has high efficiency and lower power. The intelligent remote control unit of the system is capable of signal conversion, wireless communication as well as infrared control ability. In order to suit different air conditioners, the system establishes a control code library by learning a variety of air-conditioning infrared control signals. The control parameters optimized by the system server are transmitted to the intelligent terminal and then fires the infrared control signal to the air conditioner. Therefore, the system achieves the purpose of the remote intelligent controlling. © (2013) Trans Tech Publications, Switzerland. Source

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