Test power, volume, and time are the major test cost parameters that must be minimized while achieving the desired level of fault coverage. Unlike prior research in delay fault testing that has focused on at most two ...
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The technique of relevance feedback has been introduced to content-based 3D model retrieval. Support Vector Machine as a learner is one of the classical approaches in relevance feedback. And the Boosting method, as on...
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The technique of relevance feedback has been introduced to content-based 3D model retrieval. Support Vector Machine as a learner is one of the classical approaches in relevance feedback. And the Boosting method, as one of the ensemble methods. can establish a strong leaner by combing the component learners. In this paper, a novel relevance feedback mechanism, which makes use of the main idea of boosting and the component SVM, is presented and applied to the content-based 3D model retrievaL The experiments, based on the 3D model database Princeton Shape Benchmark, show that the relevance feedback algorithm can improve the retrieval performance of traditional SvM in 3D model retrievaL
Consistency checking needs to be done from the earliest phase of requirements capture as requirements captured by requirement engineers are often vague, error-prone and inconsistent with users' needs. To improve s...
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The International Workshop on the Web and Requirements engineering (WeRE) was held in conjunction with the 18 th International IEEE Requirements engineering Conference (RE'10) in Sydney (Australia) on September 2...
The International Workshop on the Web and Requirements engineering (WeRE) was held in conjunction with the 18 th International IEEE Requirements engineering Conference (RE'10) in Sydney (Australia) on September 28 2010. WeRE intends to be an international forum for exchanging ideas on both using Web technologies as a platform in the requirements engineering field, and applying requirements engineering in the development and use of websites. Papers focused on new domains and new experiences with the connection between requirements engineering and the Web were presented in WeRE.
The vehicular wireless ad hoc network (VANET), a specialized wireless sensor network, is booming to provide safety and comfort for passengers. Special features of VANET, such as high mobility nodes and large scale nod...
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Requirements are commonly vague and ambiguous. In this paper, we describe an automated Inconsistency Checker called MaramaAI for checking for high- level inconsistency between textual requirements, abstract interactio...
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Chip multiprocessor technique has been implemented in embedded systems due to the tremendous computation requirements. Three dimension chip multiprocessor architecture has been studied recently for integrating more fu...
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Fuzzy control is a nonlinear control method; its performance depends on the fuzzy control rules, quantification factor and the scale factor. Because these multiple objectives are influence with each others, therefore ...
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Fuzzy control is a nonlinear control method; its performance depends on the fuzzy control rules, quantification factor and the scale factor. Because these multiple objectives are influence with each others, therefore it is very difficult to ensure the control effect only rely on expertise's experience. In this paper, dynamic evolutionary algorithm is adopted to optimize the multi-objectives in fuzzy controller. In dynamic evolutionary algorithm, based on the competitive relationship between particles' free energy and entropy in the phase space system, a new option strategy is put forward which is used to maintain species diversity; furthermore, multi-parent crossover operator is selected. This operator selects some individuals to form a space and then do searching in this space. This algorithm has strong ability to find the solutions of the problem, and it also run quickly compared with other traditional algorithms. Simulation results show that fuzzy controller optimized by the algorithm has good steady-state response time, steady-state error and overshoot.
Background: The fix-cache approach to regression test selection was proposed to identify the most fault-prone files and corresponding test cases through analysis of fixed defect reports. Aim: The study aims at evaluat...
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Background: The fix-cache approach to regression test selection was proposed to identify the most fault-prone files and corresponding test cases through analysis of fixed defect reports. Aim: The study aims at evaluating the efficiency of this approach, compared to the previous regression test selection strategy in a major corporation, developing embedded systems. Method: We launched a post-hoc case study applying the fix-cache selection method during six iterations of development of a multi-million LOC product. The test case execution was monitored through the test management and defect reporting systems of the company. Results: From the observations, we conclude that the fix-cache method is more efficient in four iterations. The difference is statistically significant at α = 0.05. Conclusions: The new method is significantly more efficient in our case study. The study will be replicated in an environment with better control of the test execution.
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