FOSD is the major paradigm in developing SPLs and its main goal is to increase reusability. Most the current FOSD approaches are tool or language dependent, and are not software development context independent. In thi...
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FOSD is the major paradigm in developing SPLs and its main goal is to increase reusability. Most the current FOSD approaches are tool or language dependent, and are not software development context independent. In this paper, we propose a FOSD approach to develop context independent features, called ciFeature. Our method is based on treating features as semi-citizen concepts in the language and using a simple model which could be implemented in any object-oriented language, so that features are decoupled from their contexts. In addition to decoupling of features from tools or languages which are developed them, developing context independent features will result in the features became decouple from the base code, what the refinement approaches suffer from it. Our approach will increase reusability by its flexible composition and configuration mechanism, so that the reusability will be achieved at Feature, Feature Part and the base code levels. Reaching these reusability levels is available thanks to supporting fine-grained and coarsegrained granularity in parallel throughout our approach. Finally developing context independent features will help developers to enjoy FOSD while they don't have to migrate and adapt to the new languages, language extensions or working using new tools.
this paper introduces the functional structure and framework of a universal GML schema-based parser.A valid algorithm for parsing various application schemas of GML is discussed in this *** making researches on intrin...
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this paper introduces the functional structure and framework of a universal GML schema-based parser.A valid algorithm for parsing various application schemas of GML is discussed in this *** making researches on intrinsic mechanism of core schemas,a set of grammatical and semantic parsing APIs are established to implement GML data *** APIs would serve as the foundational operation collection for universal GML schema-based parsing engine.
Planning for the point pollution sources control around the river bank is complicated with both macro and micro factors. According to these characteristics, a model-centered methodology, based on multi-objective linea...
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Planning for the point pollution sources control around the river bank is complicated with both macro and micro factors. According to these characteristics, a model-centered methodology, based on multi-objective linear programming (MOLP) and water quality simulation, is developed for controlling the multi-pollutants simultaneously, considering the nature of the river's hydrology, the arrangement of pollution sources and pollutant diffusion process. then, the model-centered methodology is applied in the case study to control the COD and NH4-N of 6 pollution sources around the Minjiang river bank of Yibin section, and to analyze the management level of all pollution sources and the variation of their contribution to Minjiang River. the results show that the order of importance of all pollution sources control is as follows: 1st outfall>2nd outfall>5th outfall>3rd outfall>4th outfall>6th outfall. And the 1st, 2nd and 5th outfalls can be viewed as the most crucial pollution sources in the future controlling. Moreover, with defining the largest emission concentration of COD and NH4-N and the corresponding annual emissions of the pollution sources, the quantitative requirements of controlling the pollution sources were raised, which offer the basis for the total allocation of the emission and the water environmental management of the whole area.
Reactive power optimization(RPO) is a complex combinatorial programming problem that reduces power losses and improve voltage profiles in a power *** this paper,RPO is solved by using particle swarm optimization(PSO),...
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Reactive power optimization(RPO) is a complex combinatorial programming problem that reduces power losses and improve voltage profiles in a power *** this paper,RPO is solved by using particle swarm optimization(PSO),while one problem exists in standard PSO is its tendency of trapping into local *** overcome this drawback,an improved particle swarm optimization with Cauchy mutation(IPSO) is proposed and applied in RPO on IEEE-14 bus,the comparison of the result of several different methods shows that the IPSO can more effectively solve the reactive power optimization problem in power system.
On the basis of dynamic programmingtheory, taking the optimization of long-term average annual energy output as its criterion, the dynamic reservoir programming model was set up and the calculation on the optimizatio...
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In this paper, a new delayed projection neural network with mixed delays is proposed for solving a class of quadratic programming (QP) problems. By the Lyapunov-Krasovskii theory and the linear matrix inequality (LMI)...
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Link spam refers to unfairly gaining a high ranking on search engines for a web page by means of trickily manipulating the link graph to confuse the hyper-link structure analysis algorithms. It seriously affects the q...
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this paper proposes an object-based video recording system, which can track and record the behavior of the moving objects under multiple distributed cameras with non-overlapping views. the object relationship among ca...
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Based on principles of Wireless Mesh Networks (WMN), the Wireless Sensor Networks (WSN) sub-cluster structure was reconstructed by seamlessly combining WSN with WMN to deploy Wireless Mesh Sensor Networks (WMSN). WMSN...
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this paper addresses the polytype target coverage problem for heterogeneous wireless sensor networks (HWSNs) with clustered configurations. this problem is formulated as an integer programming (IP) problem for maximiz...
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