This paper suggests that a single class rather than methods should be used as the slice scope to compute class cohesion. First, for a given attribute, the statements in all methods that last define the attribute are c...This paper suggests that a single class rather than methods should be used as the slice scope to compute class cohesion. First, for a given attribute, the statements in all methods that last define the attribute are computed. Then, the forward and backward data slices for this attribute are generated by using the class as the slice scope and are combined to compute the corresponding class data slice. Finally, the class cohesion is computed based on all class data slices for the attributes. Compared to traditional cohesion metrics that use methods as the slice scope, the proposed metrics that use a single class as slice scope take into account the possible interactions between the methods. The experimental results show that class cohesion can be more accurately measured when using the class as the slice scope.展开更多
In order to make decisions all companies need information. As a rule, all the informatics systems of a company contain a multitude of data and turn these data into information that has to be analyzed in order to make ...In order to make decisions all companies need information. As a rule, all the informatics systems of a company contain a multitude of data and turn these data into information that has to be analyzed in order to make decisions. It is a slow process. The solution of this drawback is given by Business Intelligence （BI） applications that can help companies increase income or diminish costs by offering the executive management appropriate information on the basis of which quick and efficient decisions can be taken.The main purpose of the paper is to prove the necessity that BI tools should be used by the modem manager. Managers are aware of that by putting into practice the BI solutions, opportunities of getting control over the business process and methods are improved and better, timely analysis functions of the performance parameters can be obtained.展开更多
This paper presents a robust algorithm to generate support for fused deposition modeling (FDM). Since many flaws appear in most stereo lithography (STL) models, this algorithm utilizes slice data as input. A top-down ...This paper presents a robust algorithm to generate support for fused deposition modeling (FDM). Since many flaws appear in most stereo lithography (STL) models, this algorithm utilizes slice data as input. A top-down approach was used to calculate the support slice layer by layer. The generation algorithm was described in detail including the slice grouping, oriental bounding box (OBB) calculation, offsetting, and Boolean operations. Several cases are given to validate the efficiency and robustness of the procedure. The algorithm provides necessary support not only for hanging surface but also for hanging vertexes and edges with O(n) time complexity, where n is the number of layers. The algorithm fully utilizes the parts’ self-support ability and reduces support volume to the maximum extent. This slice data based algorithm has the same efficiency as the STL based algorithm but is more stable, which significantly enhances the robustness of the support generation process.展开更多
基金The National Natural Science Foundation of China(No.60425206,60633010)the High Technology Research and Development Program of Jiangsu Province(No.BG2005032)
文摘This paper suggests that a single class rather than methods should be used as the slice scope to compute class cohesion. First, for a given attribute, the statements in all methods that last define the attribute are computed. Then, the forward and backward data slices for this attribute are generated by using the class as the slice scope and are combined to compute the corresponding class data slice. Finally, the class cohesion is computed based on all class data slices for the attributes. Compared to traditional cohesion metrics that use methods as the slice scope, the proposed metrics that use a single class as slice scope take into account the possible interactions between the methods. The experimental results show that class cohesion can be more accurately measured when using the class as the slice scope.
文摘In order to make decisions all companies need information. As a rule, all the informatics systems of a company contain a multitude of data and turn these data into information that has to be analyzed in order to make decisions. It is a slow process. The solution of this drawback is given by Business Intelligence （BI） applications that can help companies increase income or diminish costs by offering the executive management appropriate information on the basis of which quick and efficient decisions can be taken.The main purpose of the paper is to prove the necessity that BI tools should be used by the modem manager. Managers are aware of that by putting into practice the BI solutions, opportunities of getting control over the business process and methods are improved and better, timely analysis functions of the performance parameters can be obtained.
基金Supported by the Natural Science Fund Project of Hubei Province of China (2004ABC001)
文摘This paper presents a robust algorithm to generate support for fused deposition modeling (FDM). Since many flaws appear in most stereo lithography (STL) models, this algorithm utilizes slice data as input. A top-down approach was used to calculate the support slice layer by layer. The generation algorithm was described in detail including the slice grouping, oriental bounding box (OBB) calculation, offsetting, and Boolean operations. Several cases are given to validate the efficiency and robustness of the procedure. The algorithm provides necessary support not only for hanging surface but also for hanging vertexes and edges with O(n) time complexity, where n is the number of layers. The algorithm fully utilizes the parts’ self-support ability and reduces support volume to the maximum extent. This slice data based algorithm has the same efficiency as the STL based algorithm but is more stable, which significantly enhances the robustness of the support generation process.
